Simulation guidance of ablation therapy for persistent atrial fibrillation (U01-HL-141074)
doi: 10.1038/s41551-019-0437-9
doi: 10.1038/s41551-019-0437-9
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.
The tool has been validated on 1) simulated data and 2) prior knowledge of transcription factors.
Data imputation tools, clustering methods, trajectory inference methods, visualization methods.
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