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  • The proposed algorithm works in practice very well. At first sight, this property of the algorithm could appear rather unexpected considering the very rigorous necessary requirements for the simultaneous testing of the appropriate p(x)-values. The proposed algorithm has, in all cases, the mathematical properties which cause it to work very well. When simultaneous null hypotheses are rejected, the appropriate p(x)-values oscillate (very frequently) somewhere not far from zero. This means in practice that very rigorous requirements for simultaneous testing are then satisfied. The discovered principles can be generally usable in analogical spectroscopy studies, i.e., not only for treatment of the MS for the purpose of biomarker identification. They are even generally applicable to the arbitrary problem of marker identification (used in miscellaneous branches of human activity) by simultaneous tests in a set of quantifying dependences.
  • The proposed algorithm works in practice very well. At first sight, this property of the algorithm could appear rather unexpected considering the very rigorous necessary requirements for the simultaneous testing of the appropriate p(x)-values. The proposed algorithm has, in all cases, the mathematical properties which cause it to work very well. When simultaneous null hypotheses are rejected, the appropriate p(x)-values oscillate (very frequently) somewhere not far from zero. This means in practice that very rigorous requirements for simultaneous testing are then satisfied. The discovered principles can be generally usable in analogical spectroscopy studies, i.e., not only for treatment of the MS for the purpose of biomarker identification. They are even generally applicable to the arbitrary problem of marker identification (used in miscellaneous branches of human activity) by simultaneous tests in a set of quantifying dependences. (en)
Title
  • Identification of Markers by Simultaneous Tests in a Set of Quantifying Dependences
  • Identification of Markers by Simultaneous Tests in a Set of Quantifying Dependences (en)
skos:prefLabel
  • Identification of Markers by Simultaneous Tests in a Set of Quantifying Dependences
  • Identification of Markers by Simultaneous Tests in a Set of Quantifying Dependences (en)
skos:notation
  • RIV/60076658:12510/10:00012426!RIV11-MSM-12510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(NR8338), V, Z(MZ0MOU2005)
http://linked.open...iv/cisloPeriodika
  • A10
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 262704
http://linked.open...ai/riv/idVysledku
  • RIV/60076658:12510/10:00012426
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Markers; Decision making; Simultaneous tests; Biomarkers; Mass spectra (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • IN - Indická republika
http://linked.open...ontrolniKodProRIV
  • [E8431D42C53B]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Statistics and Economics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 5
http://linked.open...iv/tvurceVysledku
  • Beránek, Ladislav
  • Knížek, J.
  • Vojtěšek, B.
  • Bouchal, P.
  • Nenutil, R.
  • Šindelář, J.
http://linked.open...n/vavai/riv/zamer
issn
  • 0975-556X
number of pages
http://localhost/t...ganizacniJednotka
  • 12510
is http://linked.open...avai/riv/vysledek of
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