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Predicting the targets of IRF8 and NFATc1 during osteoclast differentiation using the machine learning method framework cTAP.
Wang, Honglin; Joshi, Pujan; Hong, Seung-Hyun; Maye, Peter F; Rowe, David W; Shin, Dong-Guk.
Afiliación
  • Wang H; Computer Science and Engineering Department, University of Connecticut, Storrs, USA. honglin.wang@uconn.edu.
  • Joshi P; Computer Science and Engineering Department, University of Connecticut, Storrs, USA.
  • Hong SH; Computer Science and Engineering Department, University of Connecticut, Storrs, USA.
  • Maye PF; Department of Reconstructive Sciences, University of Connecticut Health Center, Farmington, USA.
  • Rowe DW; Center for Regenerative Medicine and Skeletal Development, University of Connecticut Health Center, Farmington, USA.
  • Shin DG; Computer Science and Engineering Department, University of Connecticut, Storrs, USA. dong.shin@uconn.edu.
BMC Genomics ; 23(1): 14, 2022 Jan 07.
Article en En | MEDLINE | ID: mdl-34991467
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Osteoclastos / Ligando RANK Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Osteoclastos / Ligando RANK Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos