reference/10079507

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/10079507

Outgoing Links

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contentType	Journal Article\|Research Support, N.I.H., Extramural\|Research Support, Non-U.S. Gov't\|Research Support, U.S. Gov't, Non-P.H.S.
issn	1471-2105
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pageRange	399-
publicationName	BMC Bioinformatics
startingPage	399
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bibliographicCitation	Kurc T, Qi X, Wang D, Wang F, Teodoro G, Cooper L, Nalisnik M, Yang L, Saltz J, Foran DJ. Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinformatics. 2015 Dec 01;16():399. PMID: 26627175; PMCID: PMC4667532.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_4e4b9bc22e4b92a81ec7b4abc85a9fb9 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f749cfdca0d90dd1b6d4e4932dc98ecc http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7332782b23d3410e56fe09cc3315b608 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_4e28cee93348fb8ed4efd33477b72f8d http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_cd3343026208b02ff8a6be67fa7e5977 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_34a2d4b61b69ea0d04c271de7fc33bc0 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_a736be71cafef7e7ed61809ee22d656d http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_356a9baaaadfddb8a058b760f5fd5621 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f9c5569840ae17e5350a247a231287b5 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_ee1b4a6b1ecd968a88c87d475ab7193e
date	2015-12-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC4667532 https://pubmed.ncbi.nlm.nih.gov/26627175 https://doi.org/10.1186/s12859-015-0831-6
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language	English
source	https://www.crossref.org/ https://scigraph.springernature.com/ https://pubmed.ncbi.nlm.nih.gov/
title	Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies
hasSubjectTerm	http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801 http://purl.org/au-research/vocabulary/anzsrc-for/2008/08 http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806

Total number of triples: 49.