Identifying master regulators of cancer and their downstream targets by integrating genomic and epigenomic features
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Identification of ovarian cancer driver genes by using module network integration of multi-omics data.Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.A novel statistical approach for identification of the master regulator transcription factor.Reproducibility of SNV-calling in multiple sequencing runs from single tumors.MethylMix: an R package for identifying DNA methylation-driven genesPancancer analysis of DNA methylation-driven genes using MethylMix.Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response.
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Identifying master regulators of cancer and their downstream targets by integrating genomic and epigenomic features
description
article científic
@ca
article scientifique
@fr
articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on January 2013
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Identifying master regulators ...... enomic and epigenomic features
@en
Identifying master regulators ...... nomic and epigenomic features.
@nl
type
label
Identifying master regulators ...... enomic and epigenomic features
@en
Identifying master regulators ...... nomic and epigenomic features.
@nl
prefLabel
Identifying master regulators ...... enomic and epigenomic features
@en
Identifying master regulators ...... nomic and epigenomic features.
@nl
P2860
P1476
Identifying master regulators ...... enomic and epigenomic features
@en
P2093
Olivier Gevaert
Sylvia Plevritis
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P304
P577
2013-01-01T00:00:00Z