Open AccessMOJITOO: a fast and universal method for integration of multimodal single-cell data
Author(s) -
Mingbo Cheng,
Li Z,
Ivan G. Costa
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac220
Subject(s) - computer science , canonical correlation , data integration , source code , modal , software , data mining , cluster analysis , benchmarking , artificial intelligence , programming language , chemistry , marketing , polymer chemistry , business
The advent of multi-modal single-cell sequencing techniques have shed new light on molecular mechanisms by simultaneously inspecting transcriptomes, epigenomes and proteomes of the same cell. However, to date, the existing computational approaches for integration of multimodal single-cell data are either computationally expensive, require the delineation of parameters or can only be applied to particular modalities.