Ontology highlight
ABSTRACT:
SUBMITTER: Stassen SV
PROVIDER: S-EPMC8452770 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature
Stassen Shobana V SV Yip Gwinky G K GGK Wong Kenneth K Y KKY Ho Joshua W K JWK Tsia Kevin K KK
Nature communications 20210920 1
Inferring cellular trajectories using a variety of omic data is a critical task in single-cell data science. However, accurate prediction of cell fates, and thereby biologically meaningful discovery, is challenged by the sheer size of single-cell data, the diversity of omic data types, and the complexity of their topologies. We present VIA, a scalable trajectory inference algorithm that overcomes these limitations by using lazy-teleporting random walks to accurately reconstruct complex cellular ...[more]