<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liu K</submitter><funding>NSFC</funding><funding>NHLBI NIH HHS</funding><funding>NHMRC</funding><funding>NLM NIH HHS</funding><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIAMS NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>2622-2630</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5860060</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>33(17)</volume><pubmed_abstract>&lt;h4>Motivation&lt;/h4>Long non-coding RNAs (lncRNAs) have been implicated in the regulation of diverse biological functions. The number of newly identified lncRNAs has increased dramatically in recent years but their expression and function have not yet been described from most diseases. To elucidate lncRNA function in human disease, we have developed a novel network based method (NLCFA) integrating correlations between lncRNA, protein coding genes and noncoding miRNAs. We have also integrated target gene associations and protein-protein interactions and designed our model to provide information on the combined influence of mRNAs, lncRNAs and miRNAs on cellular signal transduction networks.&lt;h4>Results&lt;/h4>We have generated lncRNA expression profiles from the CD34+ haematopoietic stem and prog</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>Annotating function to differentially expressed LincRNAs in myelodysplastic syndrome using a network-based method.</pubmed_title><pmcid>PMC5860060</pmcid><funding_grant_id>U01 CA166886</funding_grant_id><funding_grant_id>R01 LM010185</funding_grant_id><funding_grant_id>1R01GM123037</funding_grant_id><funding_grant_id>U01 HL111560</funding_grant_id><funding_grant_id>1U01HL111560</funding_grant_id><funding_grant_id>61373105</funding_grant_id><funding_grant_id>1U01AR069395</funding_grant_id><funding_grant_id>U01 AR069395</funding_grant_id><funding_grant_id>1R01LM010185</funding_grant_id><funding_grant_id>1U01CA166886</funding_grant_id><funding_grant_id>R01 GM123037</funding_grant_id><funding_grant_id>61672422</funding_grant_id><pubmed_authors>Beck D</pubmed_authors><pubmed_authors>Liu K</pubmed_authors><pubmed_authors>Liu L</pubmed_authors><pubmed_authors>Thoms JAI</pubmed_authors><pubmed_authors>Zhao W</pubmed_authors><pubmed_authors>Pimanda JE</pubmed_authors><pubmed_authors>Zhou X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Annotating function to differentially expressed LincRNAs in myelodysplastic syndrome using a network-based method.</name><description>&lt;h4>Motivation&lt;/h4>Long non-coding RNAs (lncRNAs) have been implicated in the regulation of diverse biological functions. The number of newly identified lncRNAs has increased dramatically in recent years but their expression and function have not yet been described from most diseases. To elucidate lncRNA function in human disease, we have developed a novel network based method (NLCFA) integrating correlations between lncRNA, protein coding genes and noncoding miRNAs. We have also integrated target gene associations and protein-protein interactions and designed our model to provide information on the combined influence of mRNAs, lncRNAs and miRNAs on cellular signal transduction networks.&lt;h4>Results&lt;/h4>We have generated lncRNA expression profiles from the CD34+ haematopoietic stem and prog</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Sep</publication><modification>2026-05-01T16:19:56.833Z</modification><creation>2019-03-26T23:53:16Z</creation></dates><accession>S-EPMC5860060</accession><cross_references><pubmed>28472271</pubmed><doi>10.1093/bioinformatics/btx280</doi></cross_references></HashMap>