33 citations · 39 across the 3 of their papers we have counts for
3 papers
q-bio.CB2023★ 33 cited
CellPhoneDB v5: inferring cell-cell communication from single-cell multiomics data
Kevin Troulé, Robert Petryszak, Martin Prete +6
Cell-cell communication is essential for tissue development, regeneration and function, and its disruption can lead to diseases and developmental abnormalities. The revolution of s…
q-bio.OT2022★ 3 cited
Challenges and perspectives in computational deconvolution of genomics data
Lana X. Garmire, Yijun Li, Qianhui Huang +6
Deciphering cell type heterogeneity is crucial for systematically understanding tissue homeostasis and its dysregulation in diseases. Computational deconvolution is an efficient ap…
cs.LG2022★ 3 cited
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs
Vidhi Lalchand, Aditya Ravuri, Emma Dann +6
Single-cell RNA-seq datasets are growing in size and complexity, enabling the study of cellular composition changes in various biological/clinical contexts. Scalable dimensionality…