Beta-Poisson model for single-cell RNA-seq data analyses
暂无分享,去创建一个
Krishna R. Kalari | Quin F. Wills | Mattias Rantalainen | Yudi Pawitan | Liewei Wang | Trung-Nghia Vu | Nifang Niu | Y. Pawitan | M. Rantalainen | K. Kalari | Liewei Wang | N. Niu | T. Vu
[1] J. Muhlbauer,et al. Peroxiredoxin proteins protect MCF-7 breast cancer cells from doxorubicin-induced toxicity. , 2014, International journal of oncology.
[2] J. Kondev,et al. Stochastic models of transcription: from single molecules to single cells. , 2013, Methods.
[3] Mark D. Robinson,et al. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..
[4] Linda R. Petzold,et al. Inferring single-cell gene expression mechanisms using stochastic simulation , 2015, Bioinform..
[5] Vicent Pelechano,et al. Single-cell polyadenylation site mapping reveals 3′ isoform choice variability , 2015, Molecular systems biology.
[6] Henning Hermjakob,et al. The Reactome pathway Knowledgebase , 2015, Nucleic acids research.
[7] Rona S. Gertner,et al. Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells , 2013, Nature.
[8] Paul Theodor Pyl,et al. HTSeq—a Python framework to work with high-throughput sequencing data , 2014, bioRxiv.
[9] Cole Trapnell,et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. , 2010, Nature biotechnology.
[10] Rob Patro,et al. Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms , 2013, Nature Biotechnology.
[11] Henning Hermjakob,et al. The Reactome pathway knowledgebase , 2013, Nucleic Acids Res..
[12] Davis J. McCarthy,et al. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation , 2012, Nucleic acids research.
[13] Quin F. Wills,et al. Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments , 2013, Nature Biotechnology.
[14] Masahiro Morita,et al. Distinct perturbation of the translatome by the antidiabetic drug metformin , 2012, Proceedings of the National Academy of Sciences.
[15] Begnaud Francis Hildebrand,et al. Introduction to numerical analysis: 2nd edition , 1987 .
[16] Vahid Shahrezaei,et al. Analytical distributions for stochastic gene expression , 2008, Proceedings of the National Academy of Sciences.
[17] Charity W. Law,et al. voom: precision weights unlock linear model analysis tools for RNA-seq read counts , 2014, Genome Biology.
[18] P. Kharchenko,et al. Bayesian approach to single-cell differential expression analysis , 2014, Nature Methods.
[19] Robert Patro,et al. Sailfish: Alignment-free Isoform Quantification from RNA-seq Reads using Lightweight Algorithms , 2013, ArXiv.
[20] Y. Pawitan. In all likelihood : statistical modelling and inference using likelihood , 2002 .
[21] P. Linsley,et al. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data , 2015, Genome Biology.
[22] Davis J. McCarthy,et al. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor , 2013, Nature Protocols.
[23] Yudi Pawitan,et al. False discovery rate, sensitivity and sample size for microarray studies , 2005, Bioinform..
[24] N. Neff,et al. Quantitative assessment of single-cell RNA-sequencing methods , 2013, Nature Methods.
[25] F. B. Hildebrand,et al. Introduction To Numerical Analysis , 1957 .