Hongkai Ji
@jihk.bsky.social
📤 34
📥 26
📝 4
Professor
@jhubiostat.bsky.social
, data scientist
Glad to share our benchmark study in Genome Biology on highly variable gene (HVG) selection methods for single-cell RNA-seq. We show that a hybrid strategy performs best, now implemented in the mixhvg R package.
rdcu.be/eUfjt
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A systematic evaluation of highly variable gene selection methods for single-cell RNA-sequencing
https://rdcu.be/eUfjt
6 days ago
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reposted by
Hongkai Ji
ACIR
10 months ago
Zeng et al. developed a mutation-associated neoantigen (MANA) score, based on the expression of ENTPD1, CXCL13, and IL7R, that can identify neoantigen- and tumor-associated antigen-specific TILs across cancers.
bit.ly/4hIhgFB
@jhubiostat.bsky.social
@jihk.bsky.social
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Exciting collaboration with the Jackson, Pardoll, Yegnasubramanian, and Bettegowda Labs - now published in Science! Grateful for the contributions of our current and past group members: Runzhe Li, Zhicheng Ji, Wenpin Hou, and Wentao Zhan.
#TeamScience
add a skeleton here at some point
11 months ago
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Thrilled to introduce FUNCODE, a new ENCODE4 resource quantifying cross-species conservation of DNA elements' dynamic activities - going beyond sequence conservation - using ENCODE data. Check out the preprint:
www.biorxiv.org/content/10.1...
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11 months ago
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