Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration. - Wikidata - wikimedia - TriplyDB

Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration.

Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration.

http://www.wikidata.org/entity/Q35042433

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Personalized respiratory medicine: exploring the horizon, addressing the issues. Summary of a BRN-AJRCCM workshop held in Barcelona on June 12, 2014 Statistical controversies in clinical research: prognostic gene signatures are not (yet) useful in clinical practice Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview Dimension reduction techniques for the integrative analysis of multi-omics data From big data analysis to personalized medicine for all: challenges and opportunities Improving the Prognostic Ability through Better Use of Standard Clinical Data - The Nottingham Prognostic Index as an Example.An R package that automatically collects and archives details for reproducible computing.Criteria for the use of omics-based predictors in clinical trials.Added predictive value of omics data: specific issues related to validation illustrated by two case studies.OMICS-based personalized oncology: if it is worth doing, it is worth doing well!Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis Development of omics-based clinical tests for prognosis and therapy selection: the challenge of achieving statistical robustness and clinical utility.Cross-validation and Peeling Strategies for Survival Bump Hunting using Recursive Peeling Methods Investigation of metabolomic blood biomarkers for detection of adenocarcinoma lung cancer.Precision Medicine for Molecularly Targeted Agents and Immunotherapies in Early-Phase Clinical Trials.Non-invasive lung cancer diagnosis by detection of GATA6 and NKX2-1 isoforms in exhaled breath condensate.Integrating Pharmacoproteomics into Early-Phase Clinical Development: State-of-the-Art, Challenges, and Recommendations.Pharmacometabolomics in Early-Phase Clinical Development.In Pursuit of Greater Reproducibility and Credibility of Early Clinical Biomarker Research.Translational research in oncology--10 years of progress and future prospects.From small studies to precision medicine: prioritizing candidate biomarkers.The omic approach to parasitic trematode research-a review of techniques and developments within the past 5 years.Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer: A Joint Consensus Recommendation of the Association for Molecular Pathology, American Society of Clinical Oncology, and College of American Pathologists.Cross-Validation of Survival Bump Hunting by Recursive Peeling Methods.Precision medicine in cancer: challenges and recommendations from an EU-funded cervical cancer biobanking study.Adaptive prediction model in prospective molecular signature-based clinical studies.Issues in developing multivariable molecular signatures for guiding clinical care decisions.Systems Biology and Clinical Practice in Respiratory Medicine. The Twain Shall Meet.BMC Medicine: a decade of open access medical research.Proteomics in asthma: the clinicians were right after all, were not they?Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology.Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma.Proteomics and phosphoproteomics in precision medicine: applications and challenges.Breathomics from exhaled volatile organic compounds in pediatric asthma.Biosignature Discovery for Substance Use Disorders Using Statistical Learning.A computational framework for complex disease stratification from multiple large-scale datasets.Proteomics and Lipidomics in Inflammatory Bowel Disease Research: From Mechanistic Insights to Biomarker Identification A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis

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Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration.

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Criteria for the use of omics- ...... : explanation and elaboration.

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David A Eberhard

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Deborah J Shuman

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James H Doroshow

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James V Tricoli

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Jeremy M G Taylor

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Kelly Y Kim

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Mei-Yin C Polley

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The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays

Proposed methods for testing and selecting the ERCC external RNA controls

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

Summaries of Affymetrix GeneChip probe level data

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

Molecular portraits of human breast tumours

Quantitative mass spectrometry in proteomics: a critical review

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