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scStateDynamics: deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes.

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Title: scStateDynamics: deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes.
Authors: Guo W; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China., Li X; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China., Wang D; Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China., Yan N; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China., Hu Q; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China., Yang F; AI Lab, Shenzhen, Tencent, China., Zhang X; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China.; Center for Synthetic and Systems Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing, China., Yao J; AI Lab, Shenzhen, Tencent, China. jianhuayao@tencent.com., Gu J; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China. jgu@tsinghua.edu.cn.
Source: Genome biology [Genome Biol] 2024 Nov 21; Vol. 25 (1), pp. 297. Date of Electronic Publication: 2024 Nov 21.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: scStateDynamics: deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes.
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  Data: <searchLink fieldCode="AU" term="%22Guo+W%22">Guo W</searchLink>; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Wang+D%22">Wang D</searchLink>; Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yan+N%22">Yan N</searchLink>; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Hu+Q%22">Hu Q</searchLink>; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yang+F%22">Yang F</searchLink>; AI Lab, Shenzhen, Tencent, China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China.; Center for Synthetic and Systems Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yao+J%22">Yao J</searchLink>; AI Lab, Shenzhen, Tencent, China. jianhuayao@tencent.com.<br /><searchLink fieldCode="AU" term="%22Gu+J%22">Gu J</searchLink>; MOE Key Lab of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, China. jgu@tsinghua.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22100960660%22">Genome biology</searchLink> [Genome Biol] 2024 Nov 21; Vol. 25 (1), pp. 297. <i>Date of Electronic Publication: </i>2024 Nov 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100960660 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-760X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214747596%22">14747596 </searchLink><i>NLM ISO Abbreviation: </i>Genome Biol <i>Subsets: </i>MEDLINE
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              Text: 2024 Nov 21
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