Yiran Meng

104 posts

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Yiran Meng

Yiran Meng

@YRMeng

Epigenetics. Stem cell. Hematology. Immunology. @UniofOxford, @MRC_WIMM, @MRC_MHU.

Oxford, England Katılım Mayıs 2011
114 Takip Edilen65 Takipçiler
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Surya Ganguli
Surya Ganguli@SuryaGanguli·
Teaching a new course @Stanford this quarter on explainable AI, motivated by neuroscience. I have curated a paper list 4 pages long (link in comment). What are your favorite papers on explainable AI/mechanistic interpretability that I am missing? Please comment or DM. thanks!
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Rohan Paul
Rohan Paul@rohanpaul_ai·
On arXiv, there’s a 200+ page overview book on AI and LLMs available. Covers pretty much all the fundamentals.
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UCSC Genome Browser
UCSC Genome Browser@GenomeBrowser·
We are excited to announce the release of the @enGenome_srl VarChat track for hg38 and hg19. This track uses AI to search papers for variants, providing information such as its gene, HGVS nomenclature, and dbSNP rsID. Learn more at #022425" target="_blank" rel="nofollow noopener">genome.ucsc.edu/goldenPath/new….
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Jimmie Ye
Jimmie Ye@yimmieg·
1/🧵Excited to re-introduce Memento in (cell.com/cell/fulltext/…), a scalable method for differential analysis of scRNA-seq data. It provides first-in-class performance in statistical power and calibration for comparing differences in mean, variability, and gene correlation.👇
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Kieran Campbell
Kieran Campbell@kieranrcampbell·
💡Thinking of using scRNA-seq to design antibody panels for spatial or single-cell profiling? Happy to launch Cytomarker, an interactive web-app and new antibody screening strategy to design and validate custom panels 1/6
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Payal Chandak
Payal Chandak@payal_chandak·
📣Excited to share our new study in @NatureMedicine that @KexinHuang5 , @marinkazitnik, and I have been working on for the last four years! TxGNN is a graph-based foundation model for zero- shot drug repurposing that can find therapies for diseases with zero treatment options.
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soria
soria@jsoriamd·
The integration of #cancer #biomarkers has revolutionized cancer treatment, allowing remarkable advancements in cancer therapeutics & the prognosis of cancer patients. This review paints the road ahead. sciencedirect.com/science/articl…
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Nature Biotechnology
Nature Biotechnology@NatureBiotech·
Coordinated, multicellular patterns of transcriptional variation that stratify patient cohorts are revealed by tensor decomposition go.nature.com/47ARizC
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Waggoner Lab
Waggoner Lab@LabWaggoner·
Long-read sequencing for 29 immune cell subsets (Transcriptomic Resource of Immune Cells using Long-read Sequencing, TRAILS) reveals disease-linked isoforms nature.com/articles/s4146…
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BioDecoded
BioDecoded@BioDecoded·
Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis | Nature Genetics nature.com/articles/s4158… #Bioinformatics
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Eric Topol
Eric Topol@EricTopol·
The word "cure" hasn't been associated with treating autoimmune diseases. Until now, from advances in understanding the immune system and building tolerance to specific antigens, it's in the realm of the possible nature.com/articles/d4158… new feature @Nature
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