About: Regression Algorithm for Identification of Biomarker Areas in SELDI-TOF Mass Spectra     Goto   Sponge   NotDistinct   Permalink

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  • We describe a special regression algorithm for the identification of biomarker areas in SELDI-TOF mass spectra in this paper. %22Tests in a set of orthogonal polynomial regressions%22 is the basic principle of this approach. %22Gnostic cluster analysis%22 is then a very effective algorithmic complement especially for a case of excessive behavior of a part of (bio)markers. Apart from this another a new way of %22TIC-normalization%22 of data is proposed in this paper. This new regression algorithm averages results significantly more effectively than software systems used. A very considerable amount of computation was made on a supercomputer.
  • We describe a special regression algorithm for the identification of biomarker areas in SELDI-TOF mass spectra in this paper. %22Tests in a set of orthogonal polynomial regressions%22 is the basic principle of this approach. %22Gnostic cluster analysis%22 is then a very effective algorithmic complement especially for a case of excessive behavior of a part of (bio)markers. Apart from this another a new way of %22TIC-normalization%22 of data is proposed in this paper. This new regression algorithm averages results significantly more effectively than software systems used. A very considerable amount of computation was made on a supercomputer. (en)
Title
  • Regression Algorithm for Identification of Biomarker Areas in SELDI-TOF Mass Spectra
  • Regression Algorithm for Identification of Biomarker Areas in SELDI-TOF Mass Spectra (en)
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  • Regression Algorithm for Identification of Biomarker Areas in SELDI-TOF Mass Spectra
  • Regression Algorithm for Identification of Biomarker Areas in SELDI-TOF Mass Spectra (en)
skos:notation
  • RIV/00216208:11150/14:10159219!RIV15-MSM-11150___
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  • I, P(ED2.1.00/03.0101), P(GAP304/10/0868), P(GPP303/12/P536)
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  • 2
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  • 41884
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  • RIV/00216208:11150/14:10159219
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  • Supercomputer; Gnostics; Mass spectra; Molecular biology; Markers (en)
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  • IN - Indická republika
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  • [16E7CC440E66]
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  • International Journal of Imaging and Robotics
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  • 13
http://linked.open...iv/tvurceVysledku
  • Kuba, Martin
  • Tomšík, Pavel
  • Vojtěšek, Bořivoj
  • Bouchal, Pavel
  • Beránek, Ladislav
  • Knížek, Jiří
  • Nenutil, Rudolf
issn
  • 2231-525X
number of pages
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  • 11150
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