The pathological development of ovarian cancer (OC) is a complex progression that depends on multiple alterations of coding and non-coding genes. Therefore, it is important to capture the transcriptio

NIAID Data Ecosystem70

Additional file 4: of Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network

前列腺癌驱动基因识别

表观遗传-遗传整合分析

This file includes Tables S5âS12. (XLSX 2964 kb)

NIAID Data Ecosystem60

An integrated functional and clinical genomics approach reveal genes driving aggressive metastatic prostate cancer [RNA-Seq]

前列腺癌驱动基因识别

功能基因组学

Genomic sequencing of many thousands of tumors has revealed many genes associated with specific types of cancer. Similarly, large scale CRISPR functional genomics efforts have mapped genes required fo

NIAID Data Ecosystem50

Additional file 4: of Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network

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