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

Nicolas M BorisovIrina ShabalinaVictor TkachevMaxim SorokinAndrew GarazhaAndrey PulinIlya I EreminAnton Buzdin

Published in: BMC bioinformatics (2019)

Our results showed that unlike other frequently used methods: quantile normalization and DESeq/DESeq2 normalization, Shambhala harmonization was the only method supporting sample-specific and platform-independent biologically meaningful clustering for the data obtained from multiple experimental platforms.

Keyphrases

gene expression
electronic health record
big data
high throughput
dna methylation
machine learning
single cell
rna seq
deep learning