Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studies.

Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studies.

Item
http://www.wikidata.org/entity/Q37133375
Microbial risk indicators of early childhood caries.Impaired barrier function by dietary fructo-oligosaccharides (FOS) in rats is accompanied by increased colonic mitochondrial gene expressionCommon peak approach using mass spectrometry data sets for predicting the effects of anticancer drugs on breast cancerChallenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspective.A machine learning approach to automated structural network analysis: application to neonatal encephalopathyPredicting interpretability of metabolome models based on behavior, putative identity, and biological relevance of explanatory signalsEfficiency analysis of competing tests for finding differentially expressed genes in lung adenocarcinoma.Gene Signature Associated with Upregulation of the Wnt/β-Catenin Signaling Pathway Predicts Tumor Response to Transarterial Embolization.
P2860

Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studies.

Item
http://www.wikidata.org/entity/Q37133375
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on January 2005
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Assessing the statistical sign ...... genomic and proteomic studies.
@en
Assessing the statistical sign ...... genomic and proteomic studies.
@nl
type
label
Assessing the statistical sign ...... genomic and proteomic studies.
@en
Assessing the statistical sign ...... genomic and proteomic studies.
@nl
prefLabel
Assessing the statistical sign ...... genomic and proteomic studies.
@en
Assessing the statistical sign ...... genomic and proteomic studies.
@nl
P1433
P1476
P2093
P2860
P304
P31
P478
P577
P698
P921
P932
P1433
P1476
Assessing the statistical sign ...... genomic and proteomic studies
@en
P2093
P2860
P304
P31
P478
P577
P698
P921
P932