Sunny(Bing)Song
@ice4prince1
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A Bioinformatician in Cancer and Immunology
Joined January 2021
Exciting news! This project has been a part of my journey since the birth of my baby, growing alongside my son like a second child. Today, I'm thrilled to share that it's finally ready for the public! [ @NaturePortfolio @NatureCancer @UTSWMedCenter
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New Research Publishing. Cmai: Predicting Antigen-Antibody Interactions from Massive Sequencing Data
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An Artificial Intelligence Model for Profiling the Landscape of Antigen-binding Affinities of Massive BCR Sequencing Data
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New model ON THE WAY!.pan-MHC and cross-Species Prediction of T Cell Receptor-Antigen Binding
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Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data .Cell-to-cell Interactions for SRT data!.
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RT @TaoWang27112003: Happy to share our latest research published at Nature Communications! We systematically revie….
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RT @Yunguan10: Proud to present our latest work, published in Nature Methods today, for removing noise in spatial transcriptomics data, whi….
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Check our newly published article and the SRT data denoising method- Sprod.
Sprod accurately denoises spatially resolved transcriptomics data and improves downstream analysis results. @TaoWang27112003 @UTSWNews .
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Check our newly published paper in Nature Methods here and get to know 'Sprod' which is designed to remove noise in spatial transcriptomic data.
I am proud to present our latest work, published in Nature Methods today, for removing noise in spatial transcriptomics data, which will lead to more accurate downstream analysis! @ice4prince1 @Yunguan10 @UTSWcomps @QBRC_UTSW @UTSWNews @naturemethods
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RT @TaoWang27112003: I am proud to present our latest work, published in Nature Methods today, for removing noise in spatial transcriptomic….
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De-noising Spatial Transcriptomics Data Based on Position and Image Information 😆😆😆.
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