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SuperFeat:Quantitative Feature Learning from Single-cell RNA-seq Data Facilitates Drug Repurposing
《Genomics, Proteomics & Bioinformatics》2024年第3期91-105,共15页Jianmei Zhong Junyao Yang Yinghui Song Zhihua Zhang Chunming Wang Renyang Tong Chenglong Li Nanhui Yu Lianhong Zou Sulai Liu Jun Pu Wei Lin 
supported by grants from the Shanghai Jiao Tong University,the Renji Hospital Start-up funding for New PI,the Natural Science Foundation of Shanghai Science and Technology Innovation Action Plan(Grant No.21ZR1441500);the Young Talent of Hunan(Grant No.2020RC3066);the Hunan Natural Science Fund for Excellent Young Scholars(Grant No.2021JJ20003);the China Postdoctoral Science Foundation(Grant No.2021T140197).
In this study,we devised a computational framework called Supervised Feature Learning and Scoring(SuperFeat)which enables the training of a machine learning model and evaluates the canonical cellular statuses/features...
关键词:Single-cell transcriptomics Cell state transition Cell scoring Drug search Feature learning 
Benchmarking Algorithms for Gene Set Scoring of Single-cell ATAC-seq Data
《Genomics, Proteomics & Bioinformatics》2024年第2期27-42,共16页Xi Wang Qiwei Lian Haoyu Dong Shuo Xu Yaru Su Xiaohui Wu 
supported by the National Natural Science Foundation of China(Grant No.T2222007 to Xiaohui Wu).
Gene set scoring(GSS)has been routinely conducted for gene expression analysis of bulk or single-cell RNA sequencing(RNA-seq)data,which helps to decipher single-cell heterogeneity and cell type-specific variability by...
关键词:Single-cell ATAC-seq Gene set scoring Pathway analysis Single-cell RNA-seq BENCHMARK 
FragAnchor: A Large-Scale Predictor of Glycosylphosphatidylinositol Anchors in Eukaryote Protein Sequences by Qualitative Scoring被引量:4
《Genomics, Proteomics & Bioinformatics》2007年第2期121-130,共10页Guylaine Poisson Cedric Chauve Xin Chen Anne Bergeron 
A glycosylphosphatidylinositol (GPI) anchor is a common but complex C-terminal post-translational modification of extracellular proteins in eukaryotes. Here we investigate the problem of correctly annotating GPI-anc...
关键词:BIOINFORMATICS post-translational modification proteome analysis 
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