Shambhala: a platform-agnostic data harmonizer for gene expression data.

ABSTRACT:

Background

Harmonization techniques make different gene expression profiles and their sets compatible and ready for comparisons. Here we present a new bioinformatic tool termed Shambhala for harmonization of multiple human gene expression datasets obtained using different experimental methods and platforms of microarray hybridization and RNA sequencing.

Results

Unlike previously published methods enabling good quality data harmonization for only two datasets, Shambhala allows conversion of multiple datasets into the universal form suitable for further comparisons. Shambhala harmonization is based on the calibration of gene expression profiles using the auxiliary standardization dataset. Each profile is transformed to make it similar to the output of microarray hybridization

SUBMITTER: Borisov N 

PROVIDER: S-EPMC6366102 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature