Your browser doesn't support javascript.
loading
THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data.
Rowland, Bryce; Huh, Ruth; Hou, Zoey; Crowley, Cheynna; Wen, Jia; Shen, Yin; Hu, Ming; Giusti-Rodríguez, Paola; Sullivan, Patrick F; Li, Yun.
Affiliation
  • Rowland B; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Huh R; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Hou Z; Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, Illinois, United States of America.
  • Crowley C; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Wen J; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Shen Y; Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America.
  • Hu M; Department of Neurology, University of California San Francisco, San Francisco, California, United States of America.
  • Giusti-Rodríguez P; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, United States of America.
  • Sullivan PF; Department of Psychiatry, University of Florida College of Medicine, Gainesville, Florida, United States of America.
  • Li Y; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
PLoS Genet ; 18(3): e1010102, 2022 03.
Article in En | MEDLINE | ID: mdl-35259165

Full text: 1 Database: MEDLINE Main subject: Chromatin Type of study: Prognostic_studies Limits: Humans Language: En Year: 2022 Type: Article

Full text: 1 Database: MEDLINE Main subject: Chromatin Type of study: Prognostic_studies Limits: Humans Language: En Year: 2022 Type: Article