What is being modeled?
Single cell transcriptomic and epigenomic profiles, data integration, transcriptomic regulatory relationship
Description & purpose of resource
scAI is an unsupervised approach that integrates parallel single-cell transcriptomic and epigenomic profiles, which enables the dissection of cellular heterogeneity within both transcriptomic and epigenomic layers and the understanding of transcriptional regulatory mechanisms.
This resource is currently
mature and useful in ongoing research
Has this resource been validated?
How has the resource been validated?
The tool has been validated on 1) simulated data and 2) prior knowledge of transcription factors.
Link to Resource Credibility Assessment
Can this resource be associated with other resources? (e.g.: modular models, linked tools and platforms)
Data imputation tools, clustering methods, trajectory inference methods, visualization methods.
Key publications (e.g. describing or using resource)
Jin, S., Zhang, L. & Nie, Q. scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles. Genome Biol 21, 25 (2020). https://doi.org/10.1186/s13059-020-1932-8
DOI link to publication describing this resource
Integrative analysis; Simultaneous measurements; Single-cell multiomics; Sparse epigenomic profile
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