At the Raychaudhuri Lab, we study the basis of immune mediated disease using techniques in human genetics, bioinformatics, and systems biology.
Below, please click each figure to visit the associated publication.
Soumya Raychaudhuri's Twitter
- I am excited to share my first post-doc paper; recently a talk @GeneticsSociety #ASHG21! A novel method for discovering copy number variants that reveals new biological insight into complex traits. a thread 🧵 1/10: t.co/UljzWmx1Nc
- @RobForeman8 @LaurieRumker @broadinstitute @BrighamResearch Yes .... exactly. Testing individual neighborhoods would be challenging considering (1) the number of neighborhoods and (2) the statistical noise. So we effectively end up aggregating the neighborhoods the neighborhoods that are similar across samples to test for associations.
Power to identify key cell states exceeds approaches where single cell individual clusters are tested for associations! t.co/oId2e7zgIS
(A) CNA defines a transcriptional neighborhood with a random walk (B) Neighborhoods B, D, and E covary. (C) Neighborhood abundance matrix (NAM) quantifies cells per sample per neighborhood (D) PCA identifies NAM patterns, and can be used to test phenotypic associations. t.co/WsfVsItgdg
- Proud too share with @LaurieRumker and Yakir Reshef: Covarying Neighborhood Analysis is now out! Powerful statistical strategy to identify transcriptional neighborhoods of single cells associated with disease/phenotypes. @broadinstitute @BrighamResearch t.co/HqztM3NkTr