ScAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.
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ABSTRACT:
SUBMITTER: Jin S
PROVIDER: S-EPMC6996200 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Publications
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.
Jin Suoqin S Zhang Lihua L Nie Qing Q
Genome biology 20200203 1
Simultaneous measurements of transcriptomic and epigenomic profiles in the same individual cells provide an unprecedented opportunity to understand cell fates. However, effective approaches for the integrative analysis of such data are lacking. Here, we present a single-cell aggregation and integration (scAI) method to deconvolute cellular heterogeneity from parallel transcriptomic and epigenomic profiles. Through iterative learning, scAI aggregates sparse epigenomic signals in similar cells lea ...[more]
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