Roadmap for developing and validating therapeutically relevant genomic classifiers.
about
Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patientsSystems medicine: the future of medical genomics and healthcareInterpretation of microarray data in cancerMolecular signatures from omics data: from chaos to consensusBig data in medical science--a biostatistical viewClinical Translation and Validation of a Predictive Biomarker for Patritumab, an Anti-human Epidermal Growth Factor Receptor 3 (HER3) Monoclonal Antibody, in Patients With Advanced Non-small Cell Lung Cancer.Validation of biomarkers to predict response to immunotherapy in cancer: Volume II - clinical validation and regulatory considerationsKey aspects of analyzing microarray gene-expression dataComputational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction PredictionPredictive and prognostic molecular markers for cancer medicinePrediction of chemo-response in serous ovarian cancerData-Based Radiation Oncology: Design of Clinical Trials in the Toxicity Biomarkers Era.Molecular classification of endometriosis and disease stage using high-dimensional genomic data.Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancerAccurate data processing improves the reliability of Affymetrix gene expression profiles from FFPE samplesGood practice guidelines for biomarker discovery from array data: a case study for breast cancer prognosis.Next station in microarray data analysis: GEPAS.Challenges of microarray data and the evaluation of gene expression profile signatures.GEPAS, a web-based tool for microarray data analysis and interpretation.Interpretation of genomic data: questions and answers.Characterizing disease states from topological properties of transcriptional regulatory networks.Heterologous tissue culture expression signature predicts human breast cancer prognosis.Assessment of survival prediction models based on microarray data.False discovery rate paradigms for statistical analyses of microarray gene expression data.Autoantibody approach for serum-based detection of head and neck cancer.Microarray based diagnosis profits from better documentation of gene expression signatures.A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?Analysis of DNA microarray expression data3'-end sequencing for expression quantification (3SEQ) from archival tumor samples.Analysis of multiple sarcoma expression datasets: implications for classification, oncogenic pathway activation and chemotherapy resistancemiRNA expression profiling enables risk stratification in archived and fresh neuroblastoma tumor samples.Internal validation inferences of significant genomic features in genome-wide screeningAn adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data.Clinical trials for predictive medicine: new challenges and paradigmsPrediction of adjuvant chemotherapy response in triple negative breast cancer with discovery and targeted proteomics.Cautionary Note on Using Cross-Validation for Molecular Classification.Revisiting the technical validation of tumour biomarker assays: how to open a Pandora's box.Development of an integrated genomic classifier for a novel agent in colorectal cancer: approach to individualized therapy in early development.DNA methylation profiles of the brain-derived neurotrophic factor (BDNF) gene as a potent diagnostic biomarker in major depression.Imatinib for progressive and recurrent aggressive fibromatosis (desmoid tumors): an FNCLCC/French Sarcoma Group phase II trial with a long-term follow-up.
P2860
Q21202033-84635CED-4D96-428D-92CC-3C4B724AC877Q24288895-A36D4B59-2217-4756-A3BA-35CC6F673E0AQ24289307-89B537B6-6ECF-4288-ACCD-FE44437F3EA7Q24289539-8B2AD06A-4CB4-46F9-9ADE-45D8FE29E088Q26824785-82066A9D-CDCA-48EB-8187-72B5E4D43018Q27853182-56402260-FF8D-4063-8DB9-9D00CC78EB38Q28066738-E62583CA-ADE3-4E64-B87B-0193CB728BA3Q28299740-ABAE9F20-3E26-4E14-A49E-B71981928093Q28554438-61220B27-D093-4090-B9A6-503F4175C318Q28743108-7CA86E28-33FD-4B03-98F3-32F869849D02Q29248636-1CF1BAA3-90AC-4D0A-B5B8-315D8E72C2A3Q30234489-23C2BD14-4896-4E88-BE7D-5B8B78C0A0EAQ30409164-E78D8DB1-1640-4B2D-91C8-857A17B114B2Q30566197-D2C5515B-EF44-4560-8CE1-50AC0A5219A2Q30747169-59AE6D29-D435-489E-9F09-BB4E40DDEE20Q30763493-657A2559-8D48-4311-8908-2B750332ECEEQ31048894-BBA9297F-02AC-45A8-AF72-FC4BCAC22B8EQ31153861-B3EA18A3-DF81-4AC5-ACC9-BB4FC450406BQ31156851-18952652-F1EA-4794-B646-14BEE864CEEEQ31160607-32499FD0-0172-4327-8C83-A25A1DC67ABAQ33241989-F8E114EA-AE52-4705-9CB7-725942417047Q33268351-9D91DAD6-F5DF-4D8C-B74B-D33FB30BD508Q33283918-9FDF22C8-6C4C-497E-BBC3-3BDCEC92E262Q33289178-6FF153B0-E7A6-4A62-A309-F79D19608704Q33305783-73AB55AF-D639-4C91-8EC5-AE4BB3EBDA99Q33320174-53F07424-D8FE-4D48-9258-A9AFD14AB571Q33352632-E0CBD3BC-7E87-4D24-9CD6-F4AC04C430A4Q33495831-B11DE6C0-A860-48E0-BC18-F611D2B6B36DQ33526362-965C6BB5-58CF-4D1E-836E-5C4C37C2D0DBQ33549674-3CFFF9EE-AEEE-43EC-8D81-B179C474E12DQ33559546-6B92356C-6B2E-4E65-B0A6-50071F269D14Q33585433-A8AA7F0E-D41D-4931-90DE-C66C0860BBA8Q33661199-3E6F89F7-2F6D-428A-8AE4-36E7A0ACACB7Q33696732-D1AB983F-2132-4B1D-B5E1-FB4C6F787A33Q33778306-5A9B3C85-F30E-4C02-932F-703115B07D33Q33816989-F777403E-6A4C-4742-ADDC-FFDEFF955ED9Q33876854-B7634987-5107-4E82-B67E-ED5C173B7925Q33927952-074006DF-B1FA-46EE-91F8-DBB906368A02Q34017635-7E9E85EB-2807-40AA-98EA-0E669F54C3A2Q34023059-DD2FBFD3-1F81-48A3-A86B-A0CA631DCA55
P2860
Roadmap for developing and validating therapeutically relevant genomic classifiers.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Roadmap for developing and validating therapeutically relevant genomic classifiers.
@ast
Roadmap for developing and validating therapeutically relevant genomic classifiers.
@en
type
label
Roadmap for developing and validating therapeutically relevant genomic classifiers.
@ast
Roadmap for developing and validating therapeutically relevant genomic classifiers.
@en
prefLabel
Roadmap for developing and validating therapeutically relevant genomic classifiers.
@ast
Roadmap for developing and validating therapeutically relevant genomic classifiers.
@en
P356
P1476
Roadmap for developing and validating therapeutically relevant genomic classifiers.
@en
P2093
Richard Simon
P304
P356
10.1200/JCO.2005.02.8712
P407
P577
2005-09-06T00:00:00Z