Translating bioinformatics in oncology: guilt-by-profiling analysis and identification of KIF18B and CDCA3 as novel driver genes in carcinogenesis
Abstract. Motivation : Co-regulated genes are not identified in traditional microarray analyses, but may theoretically be closely functionally linked [guilt-by
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2015
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| In: |
Bioinformatics
Year: 2015, Volume: 31, Issue: 2, Pages: 216-224 |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btu586 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btu586 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/bioinformatics/article/31/2/216/2365011 |
| Author Notes: | Timo Itzel, Peter Scholz, Thorsten Maass, Markus Krupp, Jens U. Marquardt, Susanne Strand, Diana Becker, Frank Staib, Harald Binder, Stephanie Roessler, Xin Wei Wang, Snorri Thorgeirsson, Martina Müller, Peter R. Galle and Andreas Teufel |
| Summary: | Abstract. Motivation : Co-regulated genes are not identified in traditional microarray analyses, but may theoretically be closely functionally linked [guilt-by |
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| Item Description: | Published: 18 September 2014 Gesehen am 23.06.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btu586 |