Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Correction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415199/
https://www.ncbi.nlm.nih.gov/pubmed/28467502
http://dx.doi.org/10.1371/journal.pone.0177280
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spelling pubmed-54151992017-05-14 Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data PLoS One Correction Public Library of Science 2017-05-03 /pmc/articles/PMC5415199/ /pubmed/28467502 http://dx.doi.org/10.1371/journal.pone.0177280 Text en © 2017 The PLOS ONE Staff http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Correction
Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
title Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
title_full Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
title_fullStr Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
title_full_unstemmed Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
title_short Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data
title_sort correction: gothic, a probabilistic model to resolve complex biases and to identify real interactions in hi-c data
topic Correction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415199/
https://www.ncbi.nlm.nih.gov/pubmed/28467502
http://dx.doi.org/10.1371/journal.pone.0177280
work_keys_str_mv AT correctiongothicaprobabilisticmodeltoresolvecomplexbiasesandtoidentifyrealinteractionsinhicdata

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