PRJNA675182 - A Machine-learning approach to define and predict the therapeutic landscape of pan-cancer Hippo pathway dependency (ATAC-seq) - OmicsDI

Genomics

Dataset Information

A Machine-learning approach to define and predict the therapeutic landscape of pan-cancer Hippo pathway dependency (ATAC-seq)

ABSTRACT: A Machine-learning approach to define and predict the therapeutic landscape of pan-cancer Hippo pathway dependency (ATAC-seq)

PROVIDER: PRJNA675182 | ENA |

REPOSITORIES: ENA

Dataset's files

Source:

			Action	DRS
	SRR13001414_1.fastq.gz	Fastqsanger.gz
	SRR13001414_2.fastq.gz	Fastqsanger.gz
	SRR13001415_1.fastq.gz	Fastqsanger.gz
	SRR13001415_2.fastq.gz	Fastqsanger.gz
	SRR13001416_1.fastq.gz	Fastqsanger.gz

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