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dc.contributor.authorChou, Po-Haoen_US
dc.contributor.authorLiao, Wei-Chaoen_US
dc.contributor.authorTsai, Kuo-Wangen_US
dc.contributor.authorChen, Ku-Chungen_US
dc.contributor.authorYu, Jau-Songen_US
dc.contributor.authorChen, Ting-Wenen_US
dc.date.accessioned2019-04-02T05:58:22Z-
dc.date.available2019-04-02T05:58:22Z-
dc.date.issued2019-03-07en_US
dc.identifier.issn2045-2322en_US
dc.identifier.urihttp://dx.doi.org/10.1038/s41598-019-40629-zen_US
dc.identifier.urihttp://hdl.handle.net/11536/148967-
dc.description.abstractBecause of innumerable cancer sequencing projects, abundant transcriptome expression profiles together with survival data are available from the same patients. Although some expression signatures for prognosis or pathologic staging have been identified from these data, systematically discovering such kind of expression signatures remains a challenge. To address this, we developed TACCO (Transcriptome Alterations in CanCer Omnibus), a database for identifying differentially expressed genes and altered pathways in cancer. TACCO also reveals miRNA cooperative regulations and supports construction of models for prognosis. The resulting signatures have great potential for patient stratification and treatment decision-making in future clinical applications. TACCO is freely available at http://tacco.life.nctu.edu.tw/.en_US
dc.language.isoen_USen_US
dc.titleTACCO, a Database Connecting Transcriptome Alterations, Pathway Alterations and Clinical Outcomes in Cancersen_US
dc.typeArticleen_US
dc.identifier.doi10.1038/s41598-019-40629-zen_US
dc.identifier.journalSCIENTIFIC REPORTSen_US
dc.citation.volume9en_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000460508600107en_US
dc.citation.woscount0en_US
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