Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms
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biosigner: A New Method for the Discovery of Significant Molecular Signatures from Omics Data.Proteogenomic convergence for understanding cancer pathways and networks.Systems biology data analysis methodology in pharmacogenomics.Quantification of the heterogeneity of prognostic cellular biomarkers in ewing sarcoma using automated image and random survival forest analysisGut Microbiota Dysbiosis as Risk and Premorbid Factors of IBD and IBS Along the Childhood-Adulthood Transition.Integrating Pharmacoproteomics into Early-Phase Clinical Development: State-of-the-Art, Challenges, and Recommendations.Profiling the human response to physical exercise: a computational strategy for the identification and kinetic analysis of metabolic biomarkers.Important options available--from start to finish--for translating proteomics results to clinical chemistry.Detecting disease genes of non-small lung cancer based on consistently differential interactions.The role of machine learning in neuroimaging for drug discovery and development.Technology in Parkinson's disease: Challenges and opportunities.Basics of mass spectrometry based metabolomics.Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.Proteome and Metabolome of Subretinal Fluid in Central Serous Chorioretinopathy and Rhegmatogenous Retinal Detachment: A Pilot Case Study.Effects of pooling samples on the performance of classification algorithms: a comparative study.SECIMTools: a suite of metabolomics data analysis tools.A computational framework for complex disease stratification from multiple large-scale datasets.
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P2860
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Sample size and statistical po ...... y of classification algorithms
@ast
Sample size and statistical po ...... y of classification algorithms
@en
type
label
Sample size and statistical po ...... y of classification algorithms
@ast
Sample size and statistical po ...... y of classification algorithms
@en
prefLabel
Sample size and statistical po ...... y of classification algorithms
@ast
Sample size and statistical po ...... y of classification algorithms
@en
P2093
P2860
P356
P1433
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Sample size and statistical po ...... y of classification algorithms
@en
P2093
Armin Graber
Raji Balasubramanian
Robert N McBurney
P2860
P2888
P356
10.1186/1471-2105-11-447
P577
2010-09-03T00:00:00Z
P5875
P6179
1041484855