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MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.

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Title: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.
Authors: Alinejad-Rokny H; Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Perth, Australia.; Bio Medical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; Health Data Analytics Program, AI-enabled Processes (AIP) Research Centre, Macquarie University, Sydney, Australia., Ghavami Modegh R; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran., Rabiee HR; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran., Ramezani Sarbandi E; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran., Rezaie N; Center for Complex Biological Systems, University of California Irvine, Irvine, California, United States of America., Tam KT; Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Perth, Australia., Forrest ARR; Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Perth, Australia.
Source: PLoS computational biology [PLoS Comput Biol] 2022 Jun 24; Vol. 18 (6), pp. e1010241. Date of Electronic Publication: 2022 Jun 24 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.
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  Data: <searchLink fieldCode="AU" term="%22Alinejad-Rokny+H%22">Alinejad-Rokny H</searchLink>; Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Perth, Australia.; Bio Medical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; Health Data Analytics Program, AI-enabled Processes (AIP) Research Centre, Macquarie University, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Ghavami+Modegh+R%22">Ghavami Modegh R</searchLink>; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Rabiee+HR%22">Rabiee HR</searchLink>; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Ramezani+Sarbandi+E%22">Ramezani Sarbandi E</searchLink>; Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Rezaie+N%22">Rezaie N</searchLink>; Center for Complex Biological Systems, University of California Irvine, Irvine, California, United States of America.<br /><searchLink fieldCode="AU" term="%22Tam+KT%22">Tam KT</searchLink>; Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22Forrest+ARR%22">Forrest ARR</searchLink>; Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Perth, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2022 Jun 24; Vol. 18 (6), pp. e1010241. <i>Date of Electronic Publication: </i>2022 Jun 24 (<i>Print Publication: </i>2022).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE
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              Text: 2022 Jun 24
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