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ASTER: accurately estimating the number of cell types in single-cell chromatin accessibility data.
Chen, Shengquan; Wang, Rongxiang; Long, Wenxin; Jiang, Rui.
Afiliación
  • Chen S; School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China.
  • Wang R; Ministry of Education Key Laboratory of Bioinformatics, Research Department of Bioinformatics at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China.
  • Long W; School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China.
  • Jiang R; Ministry of Education Key Laboratory of Bioinformatics, Research Department of Bioinformatics at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China.
Bioinformatics ; 39(1)2023 01 01.
Article en En | MEDLINE | ID: mdl-36610708
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Cromatina Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Cromatina Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China