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. |
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| 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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