We are dedicated to advancing single-cell profiling and cell engineering technologies, as well as promoting the efforts of our team and their collaborators in the Caltech community.
- All
- 2018
- 2019
- 2020
- 2021
- 2022
Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVM
Xiaoqiao Chen, Sisi Chen , Matt Thomson
Enhanced recovery of single-cell RNA-sequencing reads for missing gene expression data
Allan-Hermann Pool, Helen Poldsam, Sisi Chen, Matt Thomson, Yuki Oka
Deep Parallel Characterization of AAV Tropism and AAV-Mediated Transcriptional Changes via Single-Cell RNA Sequencing
David, Brown, Michael Altermatt, Tatyana Dobreva, Sisi Chen, Alexander Wang, Matt Thomson, Viviana Gradinaru
Single cell profiling of capillary blood enables out of clinic human immunity studies
Tatyana Dobreva, David Brown, Jong Hwee Park & Matt Thomson
Dissecting heterogeneous cell-populations across signaling and disease conditions with PopAlign
Sisi Chen, Jong H. Park, Paul Rivaud, Emeric Charles, John Haliburton, Flavia Pichiorri, Matt Thomson
Highly Multiplexed Single-Cell RNA-seq for Defining Cell Population and Transcriptional Spaces
Jase Gehring, Jong Hwee Park, Sisi Chen, Matthew Thomson, Lior Pachter
Active Learning of Spin Network Models
Jialong Jiang, David A. Sivak, Matt Thomson
Integrated measurement of intracellular proteins and transcripts in single cells
Alexander M. Xu, Qianhe Liu, Kaitlyn L. Takata, Sarah Jeoung, Yapeng Su, Igor Antoshechkin, Sisi Chen, Matthew Thomson, James R. Heath
