On the public citation graph

Systematic comparative analysis of single cell RNA-sequencing methods

https://doi.org/10.1101/632216
0 signed · 166 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/hep.25754openalex-snapshot
Histone methyltransferase ASH1 orchestrates fibrogenic gene transcription during myofibroblast transdifferentiation
inferredcites →https://doi.org/10.1016/j.cell.2015.04.044openalex-snapshot
Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
inferredcites →https://doi.org/10.1016/j.cell.2015.05.002openalex-snapshot
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
inferredcites →https://doi.org/10.1016/j.cell.2015.05.047openalex-snapshot
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
inferredcites →https://doi.org/10.1016/j.cell.2016.07.054openalex-snapshot
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
inferredcites →https://doi.org/10.1016/j.cell.2018.02.001openalex-snapshot
Mapping the Mouse Cell Atlas by Microwell-Seq
inferredcites →https://doi.org/10.1016/j.cell.2018.05.060openalex-snapshot
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
inferredcites →https://doi.org/10.1016/j.cell.2019.01.022openalex-snapshot
Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
inferredcites →https://doi.org/10.1016/j.molcel.2017.01.023openalex-snapshot
Comparative Analysis of Single-Cell RNA Sequencing Methods
inferredcites →https://doi.org/10.1016/j.molcel.2018.10.020openalex-snapshot
Comparative Analysis of Droplet-Based Ultra-High-Throughput Single-Cell RNA-Seq Systems
inferredcites →https://doi.org/10.1038/nature21350openalex-snapshot
Scaling single-cell genomics from phenomenology to mechanism
inferredcites →https://doi.org/10.1038/nature24029openalex-snapshot
The neuropeptide NMU amplifies ILC2-driven allergic lung inflammation
inferredcites →https://doi.org/10.1038/nbt.3122openalex-snapshot
StringTie enables improved reconstruction of a transcriptome from RNA-seq reads
inferredcites →https://doi.org/10.1038/nbt.4096openalex-snapshot
Integrating single-cell transcriptomic data across different conditions, technologies, and species
inferredcites →https://doi.org/10.1038/ncomms11022openalex-snapshot
Nuclear RNA-seq of single neurons reveals molecular signatures of activation
inferredcites →https://doi.org/10.1038/ncomms14049openalex-snapshot
Massively parallel digital transcriptional profiling of single cells
inferredcites →https://doi.org/10.1038/ncomms9554openalex-snapshot
Systematic analysis of somatic mutations impacting gene expression in 12 tumour types
inferredcites →https://doi.org/10.1038/nmat3938openalex-snapshot
Universal process-inert encoding architecture for polymer microparticles
inferredcites →https://doi.org/10.1038/nmeth.1491openalex-snapshot
Comprehensive comparative analysis of strand-specific RNA sequencing methods
inferredcites →https://doi.org/10.1038/nmeth.1923openalex-snapshot
Fast gapped-read alignment with Bowtie 2
inferredcites →https://doi.org/10.1038/nmeth.2639openalex-snapshot
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
inferredcites →https://doi.org/10.1038/nmeth.2930openalex-snapshot
Validation of noise models for single-cell transcriptomics
inferredcites →https://doi.org/10.1038/nmeth.3317openalex-snapshot
HISAT: a fast spliced aligner with low memory requirements
inferredcites →https://doi.org/10.1038/nmeth.4179openalex-snapshot
Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput
inferredcites →https://doi.org/10.1038/nmeth.4220openalex-snapshot
Power analysis of single-cell RNA-sequencing experiments
inferredcites →https://doi.org/10.1038/nmeth.4407openalex-snapshot
Massively parallel single-nucleus RNA-seq with DroNc-seq
inferredcites →https://doi.org/10.1038/nmeth.4437openalex-snapshot
Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations
inferredcites →https://doi.org/10.1038/nn.4216openalex-snapshot
Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
inferredcites →https://doi.org/10.1038/nprot.2016.154openalex-snapshot
Single-cell barcoding and sequencing using droplet microfluidics
inferredcites →https://doi.org/10.1038/nprot.2017.149openalex-snapshot
Exponential scaling of single-cell RNA-seq in the past decade
inferredcites →https://doi.org/10.1038/s41586-019-0969-xopenalex-snapshot
The single-cell transcriptional landscape of mammalian organogenesis
inferredcites →https://doi.org/10.1038/s41590-019-0398-xopenalex-snapshot
The immune cell landscape in kidneys of patients with lupus nephritis
inferredcites →https://doi.org/10.1038/s41592-019-0619-0openalex-snapshot
Fast, sensitive and accurate integration of single-cell data with Harmony
inferredcites →https://doi.org/10.1038/s41598-017-04426-wopenalex-snapshot
A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA
inferredcites →https://doi.org/10.1038/srep03678openalex-snapshot
Technical Variations in Low-Input RNA-seq Methodologies
inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-snapshot
Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1093/bioinformatics/bts635openalex-snapshot
STAR: ultrafast universal RNA-seq aligner
inferredcites →https://doi.org/10.1093/bioinformatics/btt656openalex-snapshot
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
inferredcites →https://doi.org/10.1093/gigascience/giy059openalex-snapshot
zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs
inferredcites →https://doi.org/10.1101/217737openalex-snapshot
K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
inferredcites →https://doi.org/10.1101/250811openalex-snapshot
Sharq, A versatile preprocessing and QC pipeline for Single Cell RNA-seq
inferredcites →https://doi.org/10.1101/541433openalex-snapshot
Comparative analysis of commercially available single-cell RNA sequencing platforms for their performance in complex human tissues
inferredcites →https://doi.org/10.1101/gr.134445.111openalex-snapshot
Deep sequencing of subcellular RNA fractions shows splicing to be predominantly co-transcriptional in the human genome but inefficient for lncRNAs
inferredcites →https://doi.org/10.1101/gr.209601.116openalex-snapshot
UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy
inferredcites →https://doi.org/10.1126/science.aaa1934openalex-snapshot
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
inferredcites →https://doi.org/10.1126/science.aad7038openalex-snapshot
Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
inferredcites →https://doi.org/10.1126/science.aam8940openalex-snapshot
Comprehensive single-cell transcriptional profiling of a multicellular organism
inferredcites →https://doi.org/10.1126/science.aam8999openalex-snapshot
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
inferredcites →https://doi.org/10.1146/annurev-anchem-061516-045228openalex-snapshot
Single-Cell Transcriptional Analysis
inferredcites →https://doi.org/10.1146/annurev.cellbio.20.010403.095114openalex-snapshot
FUNDAMENTALS OF PLANARIAN REGENERATION
inferredcites →https://doi.org/10.1186/1471-2105-12-323openalex-snapshot
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
inferredcites →https://doi.org/10.1186/1471-2164-7-115openalex-snapshot
Cell-type specific gene expression profiles of leukocytes in human peripheral blood
inferredcites →https://doi.org/10.1186/gb-2009-10-3-r25openalex-snapshot
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
inferredcites →https://doi.org/10.1186/s12864-016-3300-3openalex-snapshot
Assessing characteristics of RNA amplification methods for single cell RNA sequencing
inferredcites →https://doi.org/10.1186/s13059-016-0888-1openalex-snapshot
Classification of low quality cells from single-cell RNA-seq data
inferredcites →https://doi.org/10.1186/s13059-016-0938-8openalex-snapshot
CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
inferredcites →https://doi.org/10.1186/s13059-019-1670-yopenalex-snapshot
Alevin efficiently estimates accurate gene abundances from dscRNA-seq data
inferredcites →https://doi.org/10.1186/s13073-017-0467-4openalex-snapshot
A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
inferredcites →https://doi.org/10.1371/journal.pcbi.1006361openalex-snapshot
scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data
inferredcites →https://doi.org/10.1371/journal.pone.0209648openalex-snapshot
Single-nucleus and single-cell transcriptomes compared in matched cortical cell types
inferredcites →https://doi.org/10.5167/uzh-162597openalex-snapshot
The Human Cell Atlas

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cyto.a.23898openalex-snapshot
Apoptotic Cell Exclusion and Bias‐Free Single‐Cell Selection Are Important Quality Control Requirements for Successful Single‐Cell Sequencing Applications
inferred← citeshttps://doi.org/10.1002/cyto.a.24209openalex-snapshot
Genomic Cytometry and New Modalities for Deep Single‐Cell Interrogation
inferred← citeshttps://doi.org/10.1002/hep4.1563openalex-snapshot
Functionally Diverse Inflammatory Responses in Peripheral and Liver Monocytes in Alcohol‐Associated Hepatitis
inferred← citeshttps://doi.org/10.1002/mds.28892openalex-snapshot
Oligodendrocyte and Extracellular Matrix Contributions to Central Nervous System Motor Function: Implications for Dystonia
inferred← citeshttps://doi.org/10.1007/978-3-030-87821-4_3openalex-snapshot
Transcriptome Analysis Using RNA-seq and scRNA-seq
inferred← citeshttps://doi.org/10.1007/978-3-031-55715-6_11openalex-snapshot
High Content Single Cell and Spatial Tissue Profiling Modalities for Deciphering the Pathogenesis and Treatment of Wound Healing
inferred← citeshttps://doi.org/10.1007/s00439-020-02116-8openalex-snapshot
Evaluating genetic causes of azoospermia: What can we learn from a complex cellular structure and single-cell transcriptomics of the human testis?
inferred← citeshttps://doi.org/10.1007/s11427-022-2224-4openalex-snapshot
Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy
inferred← citeshttps://doi.org/10.1016/j.arr.2020.101156openalex-snapshot
Single-cell analyses of aging, inflammation and senescence
inferred← citeshttps://doi.org/10.1016/j.cell.2020.09.056openalex-snapshot
Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin
inferred← citeshttps://doi.org/10.1016/j.cell.2020.10.018openalex-snapshot
Defining the Teratoma as a Model for Multi-lineage Human Development
inferred← citeshttps://doi.org/10.1016/j.celrep.2020.108222openalex-snapshot
Parallel Single-Cell RNA-Seq and Genetic Recording Reveals Lineage Decisions in Developing Embryoid Bodies
inferred← citeshttps://doi.org/10.1016/j.isci.2023.107133openalex-snapshot
Altered anti-viral immune responses in monocytes in overweight heavy drinkers
inferred← citeshttps://doi.org/10.1016/j.it.2020.07.006openalex-snapshot
Microglia and Astrocytes in Disease: Dynamic Duo or Partners in Crime?
inferred← citeshttps://doi.org/10.1016/j.jtbi.2019.110118openalex-snapshot
Robust calibration of hierarchical population models for heterogeneous cell populations
inferred← citeshttps://doi.org/10.1016/j.molp.2020.10.012openalex-snapshot
Single-Cell Transcriptome Analysis in Plants: Advances and Challenges
inferred← citeshttps://doi.org/10.1016/j.neuron.2019.11.006openalex-snapshot
Single-Cell Profiles of Retinal Ganglion Cells Differing in Resilience to Injury Reveal Neuroprotective Genes
inferred← citeshttps://doi.org/10.1016/j.neuroscience.2021.10.025openalex-snapshot
Single-cell Transcriptional Changes in Neurodegenerative Diseases
inferred← citeshttps://doi.org/10.1016/j.omtn.2019.12.035openalex-snapshot
A Comparative Analysis of Single-Cell Transcriptome Identifies Reprogramming Driver Factors for Efficiency Improvement
inferred← citeshttps://doi.org/10.1016/j.semcdb.2020.05.022openalex-snapshot
Taming human brain organoids one cell at a time
inferred← citeshttps://doi.org/10.1016/j.ymthe.2020.07.023openalex-snapshot
A Distinct Transcriptional Program in Human CAR T Cells Bearing the 4-1BB Signaling Domain Revealed by scRNA-Seq
inferred← citeshttps://doi.org/10.1021/acs.analchem.9b02410openalex-snapshot
Deciphering Metabolic Heterogeneity by Single-Cell Analysis
inferred← citeshttps://doi.org/10.1038/s41375-021-01341-yopenalex-snapshot
Identification and characterization of relapse-initiating cells in MLL-rearranged infant ALL by single-cell transcriptomics
inferred← citeshttps://doi.org/10.1038/s41467-020-18416-6openalex-snapshot
A multiresolution framework to characterize single-cell state landscapes
inferred← citeshttps://doi.org/10.1038/s41467-021-24981-1openalex-snapshot
Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children
inferred← citeshttps://doi.org/10.1038/s41467-021-25957-xopenalex-snapshot
Efficient and precise single-cell reference atlas mapping with Symphony
inferred← citeshttps://doi.org/10.1038/s41467-023-36961-8openalex-snapshot
Interpretable and context-free deconvolution of multi-scale whole transcriptomic data with UniCell deconvolve
inferred← citeshttps://doi.org/10.1038/s41587-021-00870-2openalex-snapshot
Modular, efficient and constant-memory single-cell RNA-seq preprocessing
inferred← citeshttps://doi.org/10.1038/s41598-023-42482-7openalex-snapshot
Continual learning approaches for single cell RNA sequencing data
inferred← citeshttps://doi.org/10.1038/s41598-024-78011-3openalex-snapshot
Uncovering dendritic cell specific biomarkers for diagnosis and prognosis of cardiomyopathy using single cell RNA sequencing and comprehensive bioinformatics analysis
inferred← citeshttps://doi.org/10.1038/s41598-025-85162-4openalex-snapshot
Identification of cell specific biomarkers for intellectual disability via single cell RNA sequencing and transcriptomic bioinformatics approaches
inferred← citeshttps://doi.org/10.1038/s42256-020-00244-4openalex-snapshot
An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data
inferred← citeshttps://doi.org/10.1089/cmb.2020.0439openalex-snapshot
Supervised Adversarial Alignment of Single-Cell RNA-seq Data
inferred← citeshttps://doi.org/10.1093/bib/bbab281openalex-snapshot
scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species
inferred← citeshttps://doi.org/10.1093/bib/bbab570openalex-snapshot
A robust and scalable graph neural network for accurate single-cell classification
inferred← citeshttps://doi.org/10.1093/bib/bbac616openalex-snapshot
A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy
inferred← citeshttps://doi.org/10.1093/bib/bbad149openalex-snapshot
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data
inferred← citeshttps://doi.org/10.1093/bioinformatics/btaa976openalex-snapshot
Deep feature extraction of single-cell transcriptomes by generative adversarial network
inferred← citeshttps://doi.org/10.1093/bioinformatics/btab404openalex-snapshot
Interfacing Seurat with the R tidy universe
inferred← citeshttps://doi.org/10.1093/bioinformatics/btaf137openalex-snapshot
scMUSCL: multi-source transfer learning for clustering scRNA-seq data
inferred← citeshttps://doi.org/10.1093/nar/gkaa792openalex-snapshot
Hybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics in human and mouse brain tissue
inferred← citeshttps://doi.org/10.1093/nar/gkab380openalex-snapshot
Integrating multiple references for single-cell assignment
inferred← citeshttps://doi.org/10.1098/rstb.2019.0345openalex-snapshot
Mobile genomics: tools and techniques for tackling transposons
inferred← citeshttps://doi.org/10.1101/2020.01.06.896621openalex-snapshot
Supervised Adversarial Alignment of Single-Cell RNA-seq Data
inferred← citeshttps://doi.org/10.1101/2020.03.31.019109openalex-snapshot
iCellR: Combined Coverage Correction and Principal Component Alignment for Batch Alignment in Single-Cell Sequencing Analysis
inferred← citeshttps://doi.org/10.1101/2020.05.05.078550openalex-snapshot
Graph Drawing-based Dimensionality Reduction to Identify Hidden Communities in Single-Cell Sequencing Spatial Representation
inferred← citeshttps://doi.org/10.1101/2020.09.16.300822openalex-snapshot
HieRFIT: Hierarchical Random Forest for Information Transfer
inferred← citeshttps://doi.org/10.1101/2020.12.02.398263openalex-snapshot
Pluripotent stem cell derived models of neurological diseases reveal early transcriptional heterogeneity
inferred← citeshttps://doi.org/10.1101/2020.12.22.424025openalex-snapshot
scClassifR: Framework to accurately classify cell types in single-cell RNA-sequencing data
inferred← citeshttps://doi.org/10.1101/2021.03.24.436752openalex-snapshot
Genome-wide molecular recording using Live-seq
inferred← citeshttps://doi.org/10.1101/2021.11.16.468747openalex-snapshot
Marker-free characterization of single live circulating tumor cell full-length transcriptomes
inferred← citeshttps://doi.org/10.1101/2022.02.19.481159openalex-snapshot
scAnnotate: an automated cell type annotation tool for single-cell RNA-sequencing data
inferred← citeshttps://doi.org/10.1101/2023.04.21.537839openalex-snapshot
scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters
inferred← citeshttps://doi.org/10.1101/2023.08.03.551836openalex-snapshot
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
inferred← citeshttps://doi.org/10.1101/2024.08.07.607014openalex-snapshot
Genome Restructuring around Innate Immune Genes in Monocytes in Alcohol-associated Hepatitis
inferred← citeshttps://doi.org/10.1101/2024.11.04.620867openalex-snapshot
Benchmarking Self-Supervised Learning for Single-Cell Data
inferred← citeshttps://doi.org/10.1101/655365openalex-snapshot
Accurate denoising of single-cell RNA-Seq data using unbiased principal component analysis
inferred← citeshttps://doi.org/10.1101/786269openalex-snapshot
Molecular Cross-Validation for Single-Cell RNA-seq
inferred← citeshttps://doi.org/10.1101/818450openalex-snapshot
A portable and cost-effective microfluidic system for massively parallel single-cell transcriptome profiling
inferred← citeshttps://doi.org/10.1101/gr.253047.119openalex-snapshot
Copolymerization of single-cell nucleic acids into balls of acrylamide gel
inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669678openalex-snapshot
Applications of single cell profiles of PBMC:Improvements of cell type classification
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3383921openalex-snapshot
scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3209408openalex-snapshot
Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis
inferred← citeshttps://doi.org/10.1111/tpj.16070openalex-snapshot
Going broad and deep: sequencing‐driven insights into plant physiology, evolution, and crop domestication
inferred← citeshttps://doi.org/10.1126/sciadv.aax9856openalex-snapshot
Linking indirect effects of cytomegalovirus in transplantation to modulation of monocyte innate immune function
inferred← citeshttps://doi.org/10.1126/sciadv.abd0855openalex-snapshot
Learning for single-cell assignment
inferred← citeshttps://doi.org/10.1126/sciadv.abg4755openalex-snapshot
XYZeq: Spatially resolved single-cell RNA sequencing reveals expression heterogeneity in the tumor microenvironment
inferred← citeshttps://doi.org/10.1146/annurev-biodatasci-012220-100601openalex-snapshot
Computational Methods for Single-Cell RNA Sequencing
inferred← citeshttps://doi.org/10.1186/s12859-021-04136-1openalex-snapshot
scSensitiveGeneDefine: sensitive gene detection in single-cell RNA sequencing data by Shannon entropy
inferred← citeshttps://doi.org/10.1186/s12859-022-04574-5openalex-snapshot
scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data
inferred← citeshttps://doi.org/10.1186/s13059-019-1795-zopenalex-snapshot
A comparison of automatic cell identification methods for single-cell RNA sequencing data
inferred← citeshttps://doi.org/10.1186/s13059-019-1854-5openalex-snapshot
Assessment of computational methods for the analysis of single-cell ATAC-seq data
inferred← citeshttps://doi.org/10.1186/s13059-020-02147-4openalex-snapshot
CSS: cluster similarity spectrum integration of single-cell genomics data
inferred← citeshttps://doi.org/10.1186/s13059-021-02301-6openalex-snapshot
Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity
inferred← citeshttps://doi.org/10.1186/s13059-023-03034-4openalex-snapshot
GTM-decon: guided-topic modeling of single-cell transcriptomes enables sub-cell-type and disease-subtype deconvolution of bulk transcriptomes
inferred← citeshttps://doi.org/10.1214/23-aoas1769openalex-snapshot
Binned multinomial logistic regression for integrative cell-type annotation
inferred← citeshttps://doi.org/10.12688/f1000research.22969.1openalex-snapshot
clustifyr: an R package for automated single-cell RNA sequencing cluster classification
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1014638openalex-snapshot
SKIM: A fast sketching strategy integrated with model’s dynamic-feedback for large-scale single-cell transcriptomic analysis
inferred← citeshttps://doi.org/10.1371/journal.pone.0318151openalex-snapshot
High resolution tissue and cell type identification via single cell transcriptomic profiling
inferred← citeshttps://doi.org/10.1523/jneurosci.0155-20.2020openalex-snapshot
Comparative Transcriptomic Analyses of Developing Melanocortin Neurons Reveal New Regulators for the Anorexigenic Neuron Identity
inferred← citeshttps://doi.org/10.15252/msb.20199389openalex-snapshot
scClassify: sample size estimation and multiscale classification of cells using single and multiple reference
inferred← citeshttps://doi.org/10.1534/g3.120.401160openalex-snapshot
Evaluation of STAR and Kallisto on Single Cell RNA-Seq Data Alignment
inferred← citeshttps://doi.org/10.1615/jmachlearnmodelcomput.2023047230openalex-snapshot
EVALUATING THE COMPLEXITY OF GENE COEXPRESSION ESTIMATION FOR SINGLE-CELL DATA
inferred← citeshttps://doi.org/10.17760/d20382869openalex-snapshot
Single-cell analysis of mRNA splicing variants
inferred← citeshttps://doi.org/10.20517/mtod.2022.13openalex-snapshot
Diminished function of cytotoxic T- and NK- cells in severe alcohol-associated hepatitis
inferred← citeshttps://doi.org/10.20944/preprints202209.0327.v1openalex-snapshot
Bioinformatic Methods for Identifying Differentially Abundant Subpopulations in scRNA-seq Data
inferred← citeshttps://doi.org/10.2174/0115748936353313250123071744openalex-snapshot
Integrative Analysis of Single Cell and Bulk RNA Sequencing Data Reveals T-Cell Specific Biomarkers for Diagnosis and Assessment of Celiac Disease: A Comprehensive Bioinformatics Approach
inferred← citeshttps://doi.org/10.33540/2070openalex-snapshot
Towards Unraveling the Puzzle of KMT2A-rearranged Infant Acute Lymphoblastic Leukemia
inferred← citeshttps://doi.org/10.3389/fcell.2021.737723openalex-snapshot
The Prognostic Model Based on Tumor Cell Evolution Trajectory Reveals a Different Risk Group of Hepatocellular Carcinoma
inferred← citeshttps://doi.org/10.3389/fcell.2021.767897openalex-snapshot
MapCell: Learning a Comparative Cell Type Distance Metric With Siamese Neural Nets With Applications Toward Cell-Type Identification Across Experimental Datasets
inferred← citeshttps://doi.org/10.3389/fimmu.2020.00216openalex-snapshot
FB5P-seq: FACS-Based 5-Prime End Single-Cell RNA-seq for Integrative Analysis of Transcriptome and Antigen Receptor Repertoire in B and T Cells
inferred← citeshttps://doi.org/10.3389/fimmu.2020.00669openalex-snapshot
The Ratiometric Transcript Signature MX2/GPR183 Is Consistently Associated With RTS,S-Mediated Protection Against Controlled Human Malaria Infection
inferred← citeshttps://doi.org/10.3389/fneur.2020.573095openalex-snapshot
The Spatial and Cell-Type Distribution of SARS-CoV-2 Receptor ACE2 in the Human and Mouse Brains
inferred← citeshttps://doi.org/10.3390/cancers14041011openalex-snapshot
The Pseudokinase TRIB1 in Immune Cells and Associated Disorders
inferred← citeshttps://doi.org/10.3390/cells9051144openalex-snapshot
Integrative Cluster Analysis of Whole Hearts Reveals Proliferative Cardiomyocytes in Adult Mice
inferred← citeshttps://doi.org/10.3410/f.736924657.793574281openalex-snapshot
Faculty Opinions recommendation of Assessment of computational methods for the analysis of single-cell ATAC-seq data.
inferred← citeshttps://doi.org/10.3410/f.739974427.793585290openalex-snapshot
Faculty Opinions recommendation of XYZeq: Spatially resolved single-cell RNA sequencing reveals expression heterogeneity in the tumor microenvironment.
inferred← citeshttps://doi.org/10.48550/arxiv.1912.07602openalex-snapshot
Projection Pursuit with Applications to scRNA Sequencing Data
inferred← citeshttps://doi.org/10.48550/arxiv.1912.08400openalex-snapshot
Cluster Analysis of High-Dimensional scRNA Sequencing Data
inferred← citeshttps://doi.org/10.56808/2985-1130.3174openalex-snapshot
Activation-induced cell death of NK cells in canine atopic dermatitis revealed by Droplet-Sequencing data of peripheral blood mononuclear cells
inferred← citeshttps://doi.org/10.6084/m9.figshare.18585919openalex-snapshot
Additional file 1 of scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data
inferred← citeshttps://doi.org/10.70675/8104fba8z5c6cz4698z9c29zd8d7a0c50085openalex-snapshot
Micro-Magnetic-Tweezers : an innovative tool for high-throughput bio-separation in droplet microfluidics
inferred← citeshttps://doi.org/10.70675/b40f0506z1dfcz4187za663z703f1a6990f7openalex-snapshot
Analysis of single cell gene expression reveals cellular heterogeneity and differentiation dynamics of an healthy airway epithelia
inferred← citeshttps://doi.org/10.7554/elife.102626openalex-snapshot
Genome Restructuring around Innate Immune Genes in Monocytes in Alcohol-associated Hepatitis
inferred← citeshttps://doi.org/10.7554/elife.102626.1openalex-snapshot
Genome Restructuring around Innate Immune Genes in Monocytes in Alcohol-associated Hepatitis
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.