by sisi | Jun 27, 2022 | News
Check out the new paper here! https://www.nature.com/articles/s43588-022-00263-8 Xiaoqiao’s method assembles minimal lists of highly informative genes using an iterative SVM approach. Each iteration uses only a small numbers of cells and genes for computation....
by sisi | Oct 27, 2021 | News
Paper can be found at: https://www.frontiersin.org/articles/10.3389/fimmu.2021.730825/full What’s cool about this paper: They developed a single-cell RNA sequencing (scRNA-seq) pipeline for in vivo characterization of barcoded rAAV pools at high resolution. They were...
by specteam | Jan 28, 2021 | News
Sisi presented work at the SLAS 2021 virtual conference about applying massively-parallel single-cell profiling to learn how human immune populations respond to immunomodulatory drugs. This work was a collaboration between our team at Caltech (Matt Thomson, Tami...
by sisi | Nov 25, 2020 | News
Fresh off the press at Scientific Reports! https://www.nature.com/articles/s41598-020-77073-3 What’s cool about this paper: capillary blood sampling devices (TAP devices) allowed the team to collect blood at high temporal frequencies (morning and nigh). They...
by specteam | Oct 30, 2020 | News
Congrats to Sisi Chen, Paul Rivaud, Jeff Park, Tiffany Tsou, and Matt Thomson for their new paper titled: Dissecting heterogeneous cell populations across drug and disease conditions with PopAlign, just published in PNAS. This paper describes a computational framework...
