Weiqing Chen

PhD Candidate @WeillCornell | Visiting Graduate Research Fellow @MethodistHosp

[Weiqing Chen @wchen4005]

Thrilled to share our “visual-omics” models OmiCLIP and Loki are now published in Nature Methods! 🎉Huge thanks to Dr. Wang, our lab, and collaborators. We believe OmiCLIP & Loki mark a big step toward combining morphology and molecular insights for more precise disease analysis.

[Nature Methods @naturemethods]

A really nice paper out today from the Wang lab describing OmiCLIP, a visual–omics foundation model linking H&E images and transcriptomics, and the associated Loki analysis toolkit. https://t.co/LSe29Ll2gQ

[Guangyu Wang @Guangyu_Wang01]

Thor, our new platform for spatial transcriptomics and histology, is now published in Nature Communications!
It enables single-cell resolution gene inference and interactive tissue exploration across diverse experimental platforms.

https://t.co/O3UAU6AZtm

[Nature Methods @naturemethods]

A really nice paper out today from the Wang lab describing OmiCLIP, a visual–omics foundation model linking H&E images and transcriptomics, and the associated Loki analysis toolkit. https://t.co/LSe29Ll2gQ

[Guangyu Wang @Guangyu_Wang01]

We are so happy to publish our new foundation model in Nature Methods. we trained OmiCLIP, a vision-omics due modalities model to bridge pathology image and transcriptomic, and Loki, a platform using OmiCLIP as backbone for ST and HE image cross analysis. https://t.co/UkHryBRFqQ

[Guangyu Wang @Guangyu_Wang01]

Our new study for inferring cell-dependent RNA velocity and kinetics of mRNA by deep learning is online in Nature Biotechnology. The website of cellDancer is https://t.co/chA5AqJ2KQ. Hope it can help your studies.

https://t.co/BQh4HKgB1K

[Weiqing Chen @wchen4005]

Compute RNA velocity with your single cell RNAseq data using our pipeline cellDancer. Examples can be found https://t.co/DNu1Hxvd6l

[ShengyuLi @Shengyu_LI]

Excited our work is out at Nat Biotechnol! Check out cellDancer - which enables RNA velocity estimation with cell-specific kinetics. Thanks to @robinustc, @wchen4005, Dr. Ye, @bRaNnAn_LAB, Dr. Le, Dr. Abe, @rnacorejpc, and Dr. Wang. #RNAvelocity #scRNAseq
https://t.co/O1DqSIS5Es