Your browser doesn't support javascript.
loading
MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.
Alinejad-Rokny, Hamid; Ghavami Modegh, Rassa; Rabiee, Hamid R; Ramezani Sarbandi, Ehsan; Rezaie, Narges; Tam, Kin Tung; Forrest, Alistair R R.
Afiliación
  • Alinejad-Rokny H; Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Perth, Australia.
  • Ghavami Modegh R; Bio Medical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.
  • Rabiee HR; Health Data Analytics Program, AI-enabled Processes (AIP) Research Centre, Macquarie University, Sydney, Australia.
  • Ramezani Sarbandi E; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
  • Rezaie N; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
  • Tam KT; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
  • Forrest ARR; Center for Complex Biological Systems, University of California Irvine, Irvine, California, United States of America.
PLoS Comput Biol ; 18(6): e1010241, 2022 06.
Article en En | MEDLINE | ID: mdl-35749574
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cromatina / Estudio de Asociación del Genoma Completo Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Australia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cromatina / Estudio de Asociación del Genoma Completo Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Australia