PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility

PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility

Bibliographic Details
Main Authors: Fan, Chao, Liu, Diwei, Huang, Rui, Chen, Zhigang, Deng, Lei
Format: Online
Language:English
Published: BioMed Central 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895273/
id pubmed-4895273
recordtype oai_dc
spelling pubmed-48952732016-06-10 PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility Fan, Chao Liu, Diwei Huang, Rui Chen, Zhigang Deng, Lei Proceedings BioMed Central 2016-01-11 /pmc/articles/PMC4895273/ /pubmed/26818760 http://dx.doi.org/10.1186/s12859-015-0851-2 Text en © Fan et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Fan, Chao
Liu, Diwei
Huang, Rui
Chen, Zhigang
Deng, Lei
spellingShingle Fan, Chao
Liu, Diwei
Huang, Rui
Chen, Zhigang
Deng, Lei
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
author_facet Fan, Chao
Liu, Diwei
Huang, Rui
Chen, Zhigang
Deng, Lei
author_sort Fan, Chao
title PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
title_short PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
title_full PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
title_fullStr PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
title_full_unstemmed PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
title_sort predrsa: a gradient boosted regression trees approach for predicting protein solvent accessibility
description
publisher BioMed Central
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895273/
_version_ 1613589728577191936

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