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Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data.
McCalla, Sunnie Grace; Fotuhi Siahpirani, Alireza; Li, Jiaxin; Pyne, Saptarshi; Stone, Matthew; Periyasamy, Viswesh; Shin, Junha; Roy, Sushmita.
Afiliación
  • McCalla SG; Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.
  • Fotuhi Siahpirani A; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Li J; Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.
  • Pyne S; Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.
  • Stone M; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Periyasamy V; Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.
  • Shin J; Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53715, USA.
  • Roy S; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53792, USA.
G3 (Bethesda) ; 13(3)2023 03 09.
Article en En | MEDLINE | ID: mdl-36626328
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Algoritmos / Neurofibromina 2 Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: G3 (Bethesda) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Algoritmos / Neurofibromina 2 Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: G3 (Bethesda) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos