ENCODE

<p>Normalized ENCODE raw counts data for both human and mouse.</p>

datasets

Modifies the distance matrix obtained from data with batch effects, so as to improve the performance of sample pattern detection, such as clustering, dimension reduction, and construction of networks between subjects. The method has been published in Bioinformatics (Fei et al, 2018, <doi:10.1093/bioinformatics/bty117>). Also available on 'GitHub' <https://github.com/tengfei-emory/QuantNorm>.

Teng Fei

QuantNorm

Mitigating the Adverse Impact of Batch Effects in Sample Pattern
Detection

ENCODE function

<p>Large matrix with 10309 rows and 26 columns</p>

ENCODE: Normalized ENCODE raw counts data for both human and mouse.

Description

Usage

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