Therapeutic algebra of immunomodulatory drug responses at single-cell resolution

no code implementations • 23 Aug 2022 • Jialong Jiang, Sisi Chen, Tiffany Tsou, Christopher S. McGinnis, Tahmineh Khazaei, Qin Zhu, Jong H. Park, Paul Rivaud, Inna-Marie Strazhnik, Eric D. Chow, David A. Sivak, Zev J. Gartner, Matt Thomson

We develop a unified mathematical model that quantitatively describes the transcriptome scale response of myeloid and lymphoid cell types to individual drugs and drug combinations through a single inferred regulatory network.

Active feature selection discovers minimal gene sets for classifying cell types and disease states with single-cell mRNA-seq data

no code implementations • 15 Jun 2021 • Xiaoqiao Chen, Sisi Chen, Matt Thomson

Here, we introduce an active learning method (ActiveSVM) that identifies minimal but highly-informative gene sets that enable the identification of cell-types, physiological states, and genetic perturbations in single-cell data using a small number of genes.

Active Learning feature selection