An effective differential expression analysis of deep-sequencing data based on the Poisson log-normal model.

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作者： Jun,Wu ^[1] ; Xiaodong,Zhao ; Zongli,Lin ; Zhifeng,Shao

作者单位： Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing of Ministry of Education, 800 Dongchuan Road, Shanghai 200240, P. R. China. ^[1]

关键词 Deep-sequencing data Poisson log-normal differential expression analysis

主题词算法(Algorithms);动物(Animals);计算生物学(Computational Biology);高通量核苷酸序列分析(High-Throughput Nucleotide Sequencing);人类(Humans);小鼠(Mice);模型, 统计学(Models, Statistical);泊松分布(Poisson Distribution);序列分析, RNA(Sequence Analysis, RNA)

DOI 10.1142/S0219720015500018

PMID 25385084

发布时间 2018-08-10

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Journal of bioinformatics and computational biology

2015年13卷2期

1550001页

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An effective differential expression analysis of deep-sequencing data based on the Poisson log-normal model.

Journal of bioinformatics and computational biology

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Journal of bioinformatics and computational biology

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An effective differential expression analysis of deep-sequencing data based on the Poisson log-normal model.

Journal of bioinformatics and computational biology

相似文献

Journal of bioinformatics and computational biology

相关期刊

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