@xiaoting_l profile picture
Xiaoting Li @xiaoting_l

Postdoc at @nygenome & @ColumbiaDBMI, PhD from @Columbia_bio

Joined October 2018
  • Tweets 7
  • Following 70
  • Followers 17
Photos and videos
Xiaoting Li retweeted
Cell@CellCellPress
2 Oct 2024
Now online! Private information leakage from single-cell count matrices dlvr.it/TDwjdZ

Private information leakage from single-cell count matrices

This study demonstrates that single-cell RNA sequencing count matrices, although valuable for biological research, can inadvertently reveal private information about individuals.

cell.com
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Xiaoting Li retweeted
Gamze Gürsoy@gamzeandgursoy
2 Oct 2024
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 cell.com/cell/fulltext/S0092…

Private information leakage from single-cell count matrices

This study demonstrates that single-cell RNA sequencing count matrices, although valuable for biological research, can inadvertently reveal private information about individuals.

cell.com
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Xiaoting Li retweeted
Lappalainen Lab@tuuliel_lab
25 Aug 2023
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.
Harmen Bussemaker@HarmenBussemkr
25 Aug 2023
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.
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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
25 Aug 2023
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.
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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
1 Nov 2022
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"). tinyurl.com/mwthyxeb (1/n)
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Xiaoting Li retweeted
Harmen Bussemaker@HarmenBussemkr
24 May 2022
Our new biophysically interpretable machine learning approach has been published by @NatureBiotech. This was a great collaborative effort. go.nature.com/3lAJlTZ bussemakerlab.org #ProBound
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Xiaoting Li retweeted
Lappalainen Lab@tuuliel_lab
12 May 2022
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
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