Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationProc. ICDM DMB 2006
Publisher.
Pages1-6
Publication statusPublished - 2006
EventThe 2006 IEEE International Conference on Data Mining (ICDM) - International Workshop on Data Mining in Bioinformatics (DMB 2006) - Hong Kong, China
Duration: 18 Dec 200622 Dec 2006

Conference

ConferenceThe 2006 IEEE International Conference on Data Mining (ICDM) - International Workshop on Data Mining in Bioinformatics (DMB 2006)
CountryChina
CityHong Kong
Period18/12/0622/12/06

Fields of Expertise

  • Human- & Biotechnology

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Cite this

Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer. / Plant, C.; Osl, M.; Tilg, Bernhard; Baumgartner, Christian.

Proc. ICDM DMB 2006. ., 2006. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Plant, C, Osl, M, Tilg, B & Baumgartner, C 2006, Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer. in Proc. ICDM DMB 2006. ., pp. 1-6, The 2006 IEEE International Conference on Data Mining (ICDM) - International Workshop on Data Mining in Bioinformatics (DMB 2006), Hong Kong, China, 18/12/06.
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AU - Baumgartner, Christian

PY - 2006

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