Xiaoting Li

Research Associate at Department of Applied Mathematics and Theoretical Physics, University of Cambridge; PhD from @Columbia_bio

[Cell @CellCellPress]

Now online! Private information leakage from single-cell count matrices https://t.co/Gq6X8XvqOO

[Gamze Gürsoy @gamzeandgursoy]

Super excited to share my lab's latest work on quantifying the private information leakage from single cell count matrices. Led by very first postdoc in the g2lab, brilliant @BioConorWalker, we showed that individuals can be reidentified 1/n https://t.co/q9R60SvdV3

[Lappalainen Lab @tuuliel_lab]

Great to see this paper published! @xiaoting_l and @HarmenBussemkr developed a really creative way to robustly quantify TF activity, which we then used as a phenotype in GWAS.

[Xiaoting Li @xiaoting_l]

Thrilled to see that this work is finally out. Huge thanks to @HarmenBussemkr and @tuuliel_lab for the invaluable mentorship and guidance throughout

[Harmen Bussemaker @HarmenBussemkr]

Excited to share that our paper came out in Cell Genomics last week. We developed a model to estimate TF regulatory activity from GTEx RNA-seq data and mapped genetic variants (“aQTLs”) predictive of this virtual trait.

[Xiaoting Li @xiaoting_l]

So excited our “aQTLs” work is on bioRxiv! Extremely grateful for the mentorship of @HarmenBussemkr and for the collaboration with @tuuliel_lab.

[Harmen Bussemaker @HarmenBussemkr]

Excited to share a new preprint by my PhD student @xiaoting_l from our wonderful collaboration with the @tuuliel_lab on genetic determinants of TF activity ("aQTLs"). https://t.co/n0vOYjLrVN (1/n)

[Harmen Bussemaker @HarmenBussemkr]

Our new biophysically interpretable machine learning approach has been published by @NatureBiotech. This was a great collaborative effort. https://t.co/6V6GvVxYWH https://t.co/Qpf8hTIcQ4 #ProBound

[Lappalainen Lab @tuuliel_lab]

Xiaoting Li from the Bussemaker lab at Columbia presenting our collaborative project: Identifying genetic regulatory variants that affect transcription factor activity. New method for estimating TF activity from expression data applied to GTEx for GWAS mapping #BoG22