What is being modeled?
Transition states in single-cell transcriptomes
Description & purpose of resource
scRCMF is an unsupervised method that identifies stable cell states and transition cells by adopting a nonlinear optimization model that infers the latent
substructures from a gene-cell matrix.
1 - 103 s
weeks to months
This resource is currently
mature and useful in ongoing research
Has this resource been validated?
Link to Resource Credibility Assessment
Can this resource be associated with other resources? (e.g.: modular models, linked tools and platforms)
Key publications (e.g. describing or using resource)
Zheng, Xiaoying, et al. "scRCMF: Identification of Cell Subpopulations and Transition States From Single-Cell Transcriptomes." IEEE Transactions on Biomedical Engineering 67.5 (2019): 1418-1428.
DOI link to publication describing this resource
Link to resource
PI contact information
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