Identification of potential key genes and high-frequency mutant genes in prostate cancer by using RNA-Seq data.

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Identification of potential key genes and high-frequency mutant genes in prostate cancer by using RNA-Seq data.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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Identification of potential ke ...... cancer by using RNA-Seq data.

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Identification of potential ke ...... cancer by using RNA-Seq data.

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Identification of potential ke ...... cancer by using RNA-Seq data.

@en

Identification of potential ke ...... cancer by using RNA-Seq data.

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Identification of potential ke ...... cancer by using RNA-Seq data.

@en

Identification of potential ke ...... cancer by using RNA-Seq data.

@nl

P1476

Identification of potential ke ...... cancer by using RNA-Seq data.

@en

P2093

He Wu

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Hong Zhou

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Jiping Qi

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Ruihua An

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Shiliang Yu

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Yufeng Bai

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Yunhe Gu

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Ze Zhang

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P2860

Global cancer statistics

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

TopHat: discovering splice junctions with RNA-Seq

NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins

A network biology approach to prostate cancer

Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

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4550-4556

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scholarly article

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10.3892/OL.2018.7846

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2018-01-24T00:00:00Z

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29616087

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P921

RNA-Seq

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5876503

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