
DOI . ORG {
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Title[redir]:
Trials and tribulations of ‘omics data analysis: assessing quality of SIMCA-based multivariate models using examples from pulmonary medicine - Molecular BioSystems (RSC Publishing)
Description:
Respiratory diseases are multifactorial heterogeneous diseases that have proved recalcitrant to understanding using focused molecular techniques. This trend has led to the rise of ‘omics approaches (e.g., transcriptomics, proteomics) and subsequent acquisition of large-scale datasets consisting of multiple variable
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Keywords {🔍}
journals, books, article, mva, databases, number, statistical, methods, search, omics, data, datasets, false, positives, chemistry, jump, site, publishing, molecular, analysis, simcabased, multivariate, examples, åsa, craig, author, diseases, understanding, approaches, multiple, variables, high, pvalue, power, omicsbased, biomedical, research, opinion, terms, applications, download, aug, open, access, permissions, wheelock, cookies, main, content, advanced,
Topics {✒️}
large-scale datasets consisting �omics technology-based investigations complex ‘omics-based datasets simca-based multivariate models perform mva-based analyses �omics-based data structures multifactorial heterogeneous diseases simca-based workflow multivariate statistical analysis �omics data analysis focused molecular techniques study subjects constitutes major statistical challenge minimum reporting standards merck index marinlit pulmonary medicine åsa related download options decreased false positives 1039/c3mb70194h article type cv-anova p website collects cookies open access author åsa org journals terms wheelockab mva methods �omics approaches wide” datasets false positives wheelock craig books databases multiple variables high numbers simca package data preprocessing search advanced journals statistical power mva approaches download citation true positives 2013 previous article site search assessing quality proved recalcitrant subsequent acquisition variables analyzed t-test
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