Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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im November 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в листопаді 2018

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Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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P1476

Adaptively capturing the heterogeneity of expression for cancer biomarker identification

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Hong-Qiang Wang

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Xin-Ping Xie

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Yi-Tong Liu

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Yu-Feng Xie

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P2860

Differential expression analysis for sequence count data

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Significance analysis of microarrays applied to the ionizing radiation response

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

CDK2 Inhibition Causes Anaphase Catastrophe in Lung Cancer through the Centrosomal Protein CP110

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

The causes and consequences of genetic heterogeneity in cancer evolution

Robust modeling of differential gene expression data using normal/independent distributions: a Bayesian approach.

Rank-based methods as a non-parametric alternative of the T-statistic for the analysis of biological microarray data.

P2888

s12859-018-2437-2

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401

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scholarly article

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10.1186/S12859-018-2437-2

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English

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P478

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2018-11-03T00:00:00Z

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1108014910

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30390627

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6215657

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