Methods for the integration of multi-omics data: mathematical aspects
Methods for the integrative analysis of multi-omics data are required to draw a more complete and accurate picture of the dynamics of molecular systems. The complexity of biological systems, the technological limits, the large number of biological variables and the relatively low number of biologica...
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| Veröffentlicht in: | BMC bioinformatics 2016-01, Vol.17 Suppl 2 (29), p.15-15, Article S15 |
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| container_end_page | 15 |
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| container_issue | 29 |
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| container_title | BMC bioinformatics |
| container_volume | 17 Suppl 2 |
| creator | Bersanelli, Matteo Mosca, Ettore Remondini, Daniel Giampieri, Enrico Sala, Claudia Castellani, Gastone Milanesi, Luciano |
| description | Methods for the integrative analysis of multi-omics data are required to draw a more complete and accurate picture of the dynamics of molecular systems. The complexity of biological systems, the technological limits, the large number of biological variables and the relatively low number of biological samples make the analysis of multi-omics datasets a non-trivial problem.
We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects. |
| doi_str_mv | 10.1186/s12859-015-0857-9 |
| format | Article |
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We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects.</description><subject>Algorithms</subject><subject>Bayes Theorem</subject><subject>Gene expression</subject><subject>Genomics - methods</subject><subject>Humans</subject><subject>Least-Squares Analysis</subject><subject>Macromolecules</subject><subject>Models, Genetic</subject><subject>Physiological aspects</subject><subject>Software</subject><issn>1471-2105</issn><issn>1471-2105</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkl1rFDEUhoMotlZ_gDcy4I1eTJvM5OTDC6GUagstgh_XIZuc7EZmJuskI_bfm2Vr6YIEkkPyvC-ck5eQ14yeMqbEWWadAt1SBi1VIFv9hBwzLlnbMQpPH9VH5EXOPyllUlF4To46oToGPTsml7dYNsnnJqS5KRts4lRwPdsS09Sk0IzLUGKbxuhy422xH5rRVqxu0dmhsXmLruSX5FmwQ8ZX9-cJ-fHp8vvFVXvz5fP1xflN60CI0gYXLPMg-xX3lApeK64laCHAOaqBOu6977pegFYWpVLOSeiDV2CFW2F_Qj7ufbfLakTvcCqzHcx2jqOd70yy0Ry-THFj1um34Rp0D1AN3t0bzOnXgrmYMWaHw2AnTEs2TArGhRaaVvTtHl3bAU2cQqqOboebc86pFACCVer0P1RdHuvM0oQh1vsDwfsDQWUK_ilru-Rsrr99PWTZnnVzynnG8NApo2aXALNPgKkJMLsEGF01bx6P6EHx78v7v_EhqnU</recordid><startdate>20160120</startdate><enddate>20160120</enddate><creator>Bersanelli, Matteo</creator><creator>Mosca, Ettore</creator><creator>Remondini, Daniel</creator><creator>Giampieri, Enrico</creator><creator>Sala, Claudia</creator><creator>Castellani, Gastone</creator><creator>Milanesi, Luciano</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160120</creationdate><title>Methods for the integration of multi-omics data: mathematical aspects</title><author>Bersanelli, Matteo ; Mosca, Ettore ; Remondini, Daniel ; Giampieri, Enrico ; Sala, Claudia ; Castellani, Gastone ; Milanesi, Luciano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-fcfa1d573b4d006457349759665cc0950c4ddd2236598ae788cc753fd85a6cbe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Bayes Theorem</topic><topic>Gene expression</topic><topic>Genomics - methods</topic><topic>Humans</topic><topic>Least-Squares Analysis</topic><topic>Macromolecules</topic><topic>Models, Genetic</topic><topic>Physiological aspects</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bersanelli, Matteo</creatorcontrib><creatorcontrib>Mosca, Ettore</creatorcontrib><creatorcontrib>Remondini, Daniel</creatorcontrib><creatorcontrib>Giampieri, Enrico</creatorcontrib><creatorcontrib>Sala, Claudia</creatorcontrib><creatorcontrib>Castellani, Gastone</creatorcontrib><creatorcontrib>Milanesi, Luciano</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bersanelli, Matteo</au><au>Mosca, Ettore</au><au>Remondini, Daniel</au><au>Giampieri, Enrico</au><au>Sala, Claudia</au><au>Castellani, Gastone</au><au>Milanesi, Luciano</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methods for the integration of multi-omics data: mathematical aspects</atitle><jtitle>BMC bioinformatics</jtitle><addtitle>BMC Bioinformatics</addtitle><date>2016-01-20</date><risdate>2016</risdate><volume>17 Suppl 2</volume><issue>29</issue><spage>15</spage><epage>15</epage><pages>15-15</pages><artnum>S15</artnum><issn>1471-2105</issn><eissn>1471-2105</eissn><abstract>Methods for the integrative analysis of multi-omics data are required to draw a more complete and accurate picture of the dynamics of molecular systems. The complexity of biological systems, the technological limits, the large number of biological variables and the relatively low number of biological samples make the analysis of multi-omics datasets a non-trivial problem.
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| source | MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; SpringerNature Complete Journals; PubMed Central Open Access; Springer Nature OA Free Journals |
| subjects | Algorithms Bayes Theorem Gene expression Genomics - methods Humans Least-Squares Analysis Macromolecules Models, Genetic Physiological aspects Software |
| title | Methods for the integration of multi-omics data: mathematical aspects |
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