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Varying-Censoring Aware Matrix Factorization for Single Cell RNA-Sequencing

https://doi.org/10.1101/166736
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What this work says

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

inferredcites →https://doi.org/10.1016/j.cell.2015.05.002openalex-snapshot
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
inferredcites →https://doi.org/10.1038/nature12172openalex-snapshot
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
inferredcites →https://doi.org/10.1038/nbt.2859openalex-snapshot
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
inferredcites →https://doi.org/10.1038/nmeth.2967openalex-snapshot
Bayesian approach to single-cell differential expression analysis
inferredcites →https://doi.org/10.1038/s41467-017-02554-5openalex-snapshot
A general and flexible method for signal extraction from single-cell RNA-seq data
inferredcites →https://doi.org/10.1093/bioinformatics/bts714openalex-snapshot
Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments
inferredcites →https://doi.org/10.1093/biostatistics/kxx053openalex-snapshot
Missing data and technical variability in single-cell RNA-sequencing experiments
inferredcites →https://doi.org/10.1093/nar/30.1.207openalex-snapshot
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
inferredcites →https://doi.org/10.1093/nar/gkr1136openalex-snapshot
Quantification noise in single cell experiments
inferredcites →https://doi.org/10.1093/nar/gkr505openalex-snapshot
Quantification noise in single cell experiments
inferredcites →https://doi.org/10.1126/science.1245316openalex-snapshot
Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
inferredcites →https://doi.org/10.1126/science.1247651openalex-snapshot
Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
inferredcites →https://doi.org/10.1126/science.1254257openalex-snapshot
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
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.aad0501openalex-snapshot
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
inferredcites →https://doi.org/10.1126/science.aah4573openalex-snapshot
Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
inferredcites →https://doi.org/10.1186/1471-2199-9-63openalex-snapshot
Quantification of mRNA in single cells and modelling of RT-qPCR induced noise
inferredcites →https://doi.org/10.1186/s13059-015-0805-zopenalex-snapshot
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
inferredcites →https://doi.org/10.1186/s13059-016-0947-7openalex-snapshot
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
inferredcites →https://doi.org/10.1186/s13059-017-1334-8openalex-snapshot
f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
inferredcites →https://doi.org/10.1214/06-ba117aopenalex-snapshot
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
inferredcites →https://doi.org/10.1371/journal.pone.0071448openalex-snapshot
No Control Genes Required: Bayesian Analysis of qRT-PCR Data
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.cels.2019.03.010openalex-snapshot
Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq
inferred← citeshttps://doi.org/10.1016/j.tig.2018.07.003openalex-snapshot
Enter the Matrix: Factorization Uncovers Knowledge from Omics
inferred← citeshttps://doi.org/10.1038/s41467-017-02554-5openalex-snapshot
A general and flexible method for signal extraction from single-cell RNA-seq data
inferred← citeshttps://doi.org/10.1080/01621459.2021.1886106openalex-snapshot
Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data
inferred← citeshttps://doi.org/10.1093/bioinformatics/bty708openalex-snapshot
A cluster robustness score for identifying cell subpopulations in single cell gene expression datasets from heterogeneous tissues and tumors
inferred← citeshttps://doi.org/10.1101/196915openalex-snapshot
Enter the matrix: factorization uncovers knowledge from omics Names/Affiliations
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