Towards sound epistemological foundations of statistical methods for high-dimensional biology.
about
On the impoverishment of scientific educationOn the epistemological crisis in genomicsRobust detection of periodic time series measured from biological systems.The PowerAtlas: a power and sample size atlas for microarray experimental design and research.Evaluation of methods for oligonucleotide array data via quantitative real-time PCRAssessing Dissimilarity Measures for Sample-Based Hierarchical Clustering of RNA Sequencing Data Using Plasmode DatasetsInferential considerations for low-count RNA-seq transcripts: a case study on the dominant prairie grass Andropogon gerardii.Variation in fiberoptic bead-based oligonucleotide microarrays: dispersion characteristics among hybridization and biological replicate samples.Predicting cancer involvement of genes from heterogeneous data.Proteomic analysis of amniotic fluid to identify women with preterm labor and intra-amniotic inflammation/infection: the use of a novel computational method to analyze mass spectrometric profilingThe Beta-Binomial Distribution for Estimating the Number of False Rejections in Microarray Gene Expression Studies.Multiple-rule bias in the comparison of classification rulesIndustrial methodology for process verification in research (IMPROVER): toward systems biology verificationMetabolomics in premature labor: a novel approach to identify patients at risk for preterm delivery.Evaluating statistical analysis models for RNA sequencing experiments.Coverage recommendations for methylation analysis by whole-genome bisulfite sequencingEmpirical evaluation of data transformations and ranking statistics for microarray analysis.Forward-time simulation of realistic samples for genome-wide association studiesCross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential.Evaluation of microarray data normalization procedures using spike-in experimentsTraining in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis.Evaluating statistical methods using plasmode data sets in the age of massive public databases: an illustration using false discovery rates.Reproducible clusters from microarray research: whither?Microarray data analysis: from disarray to consolidation and consensus.Predicting survival within the lung cancer histopathological hierarchy using a multi-scale genomic model of developmentProteomic profiling of amniotic fluid in preterm labor using two-dimensional liquid separation and mass spectrometry.Within-Cluster Resampling for Analysis of Family Data: Ready for Prime-Time?Comparing self-reported ethnicity to genetic background measures in the context of the Multi-Ethnic Study of Atherosclerosis (MESA).Rank-based inverse normal transformations are increasingly used, but are they merited?Real data examples in statistical methods papers: Tremendously valuable, and also tremendously misvalued.A comprehensive and universal method for assessing the performance of differential gene expression analyses.A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.From Measurement to Analysis Reporting: Grand Challenges in Nutritional Methodology.The illusion of distribution-free small-sample classification in genomics.The search for genenotype/phenotype associations and the phenome scan.Challenges and approaches to statistical design and inference in high-dimensional investigations.Analysis of microarray experiments of gene expression profiling.Validation of computational methods in genomics.The use of plasmodes as a supplement to simulations: A simple example evaluating individual admixture estimation methodologies
P2860
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P2860
Towards sound epistemological foundations of statistical methods for high-dimensional biology.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Towards sound epistemological ...... for high-dimensional biology.
@en
Towards sound epistemological ...... for high-dimensional biology.
@nl
type
label
Towards sound epistemological ...... for high-dimensional biology.
@en
Towards sound epistemological ...... for high-dimensional biology.
@nl
prefLabel
Towards sound epistemological ...... for high-dimensional biology.
@en
Towards sound epistemological ...... for high-dimensional biology.
@nl
P2860
P356
P1433
P1476
Towards sound epistemological ...... for high-dimensional biology.
@en
P2093
Murat Tanik
Tapan Mehta
P2860
P2888
P304
P356
10.1038/NG1422
P407
P577
2004-09-01T00:00:00Z
P5875
P6179
1027115586