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Feature extraction approach in single-cell gene expression profiling for cell-type marker identification

https://doi.org/10.1101/686659
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4939-2291-8_8openalex-snapshot
Quality Control of RNA-Seq Experiments
inferredcites →https://doi.org/10.1007/s40484-016-0089-7openalex-snapshot
Differential expression analyses for single‐cell RNA‐Seq: old questions on new data
inferredcites →https://doi.org/10.1016/j.biocel.2006.11.005openalex-snapshot
Fibroblasts and myofibroblasts: Their source, function and role in disease
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.celrep.2012.08.003openalex-snapshot
CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification
inferredcites →https://doi.org/10.1016/j.patrec.2004.09.007openalex-snapshot
2D-LDA: A statistical linear discriminant analysis for image matrix
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
inferredcites →https://doi.org/10.1038/nbt.3102openalex-snapshot
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
inferredcites →https://doi.org/10.1038/nbt.3192openalex-snapshot
Spatial reconstruction of single-cell gene expression data
inferredcites →https://doi.org/10.1038/nmeth.2930openalex-snapshot
Validation of noise models for single-cell transcriptomics
inferredcites →https://doi.org/10.1038/nmeth.2967openalex-snapshot
Bayesian approach to single-cell differential expression analysis
inferredcites →https://doi.org/10.1038/nmeth.4236openalex-snapshot
SC3: consensus clustering of single-cell RNA-seq data
inferredcites →https://doi.org/10.1038/nmeth.4292openalex-snapshot
Normalizing single-cell RNA sequencing data: challenges and opportunities
inferredcites →https://doi.org/10.1038/nprot.2014.006openalex-snapshot
Full-length RNA-seq from single cells using Smart-seq2
inferredcites →https://doi.org/10.1038/s41467-019-10500-wopenalex-snapshot
Simulating multiple faceted variability in single cell RNA sequencing
inferredcites →https://doi.org/10.1039/c7lc90070hopenalex-snapshot
InDrops and Drop-seq technologies for single-cell sequencing
inferredcites →https://doi.org/10.1074/jbc.272.5.3091openalex-snapshot
Induction by Glucose of Genes Coding for Glycolytic Enzymes in a Pancreatic β-Cell Line (INS-1)
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/btv325openalex-snapshot
Diffusion maps for high-dimensional single-cell analysis of differentiation data
inferredcites →https://doi.org/10.1093/bioinformatics/btw176openalex-snapshot
Quality control of single-cell RNA-seq by SinQC
inferredcites →https://doi.org/10.1093/bioinformatics/btw202openalex-snapshot
Beta-Poisson model for single-cell RNA-seq data analyses
inferredcites →https://doi.org/10.1093/nar/gkm226openalex-snapshot
g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments
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g:Profiler—a web server for functional interpretation of gene lists (2011 update)
inferredcites →https://doi.org/10.1093/nar/gkw430openalex-snapshot
TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
inferredcites →https://doi.org/10.1101/gr.212720.116openalex-snapshot
Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes
inferredcites →https://doi.org/10.1109/cvprw.2014.79openalex-snapshot
Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction
inferredcites →https://doi.org/10.1109/ijcnn.2004.1381036openalex-snapshot
Sparse coding and NMF
inferredcites →https://doi.org/10.1109/msp.2008.4408442openalex-snapshot
Ica: a potential tool for bci systems
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Finite-state Markov modeling of fading channels - a survey of principles and applications
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The Overlooked Fact: Fundamental Need for Spike-In Control for Virtually All Genome-Wide Analyses
inferredcites →https://doi.org/10.1146/annurev.immunol.18.1.767openalex-snapshot
Immunobiology of Dendritic Cells
inferredcites →https://doi.org/10.1186/gb-2010-11-3-r25openalex-snapshot
A scaling normalization method for differential expression analysis of RNA-seq data
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InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams
inferredcites →https://doi.org/10.1186/s13059-014-0550-8openalex-snapshot
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
inferredcites →https://doi.org/10.1186/s13059-015-0844-5openalex-snapshot
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
inferredcites →https://doi.org/10.1186/s13059-016-0927-yopenalex-snapshot
Design and computational analysis of single-cell RNA-sequencing experiments
inferredcites →https://doi.org/10.1371/journal.pcbi.1005562openalex-snapshot
ROTS: An R package for reproducibility-optimized statistical testing
inferredcites →https://doi.org/10.2144/000113462openalex-snapshot
Molecular Biology Techniques Q©A
inferredcites →https://doi.org/10.3389/fgene.2017.00062openalex-snapshot
Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods
inferredcites →https://doi.org/10.3732/ajb.1100340openalex-snapshot
A comparison of statistical methods for detecting differentially expressed genes from RNA‐seq data
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation
inferredcites →https://doi.org/10.7275/4s9m-4e81openalex-snapshot
Impact of Sample Size and Variability on the Power and Type I Error Rates of Equivalence Tests: A Simulation Study
inferredcites →https://doi.org/10.7275/vbcz-h361openalex-snapshot
Influences of mood on academic course evaluations

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

inferred← citeshttps://doi.org/10.1038/s41596-021-00534-0openalex-snapshot
Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods
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