Maximizing biomarker discovery by minimizing gene signatures

scientific article published on December 23, 2011

Maximizing biomarker discovery by minimizing gene signatures is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1186/1471-2164-12-S5-S6
P953full work available at URLhttps://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/1471-2164-12-S5-S6
https://europepmc.org/articles/PMC3287502
https://europepmc.org/articles/PMC3287502?pdf=render
https://link.springer.com/content/pdf/10.1186/1471-2164-12-S5-S6.pdf
P932PMC publication ID3287502
P698PubMed publication ID22369133

P50authorYouping DengQ71776292
William SymmansQ91728213
P2093author name stringJunwei Wang
Lajos Pusztai
Weida Tong
Chen Zhao
Jennifer Fostel
Tieliu Shi
Chang Chang
Pierre R. Bushel
P2860cites workBMC BioinformaticsQ4835939
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Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissuesQ36993051
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Effects of oestrogen on gene expression in epithelium and stroma of normal human breast tissueQ51803172
Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancerQ51935846
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
Microtubule-associated protein-tau is a bifunctional predictor of endocrine sensitivity and chemotherapy resistance in estrogen receptor-positive breast cancerQ80087617
Methylation of estrogen receptor beta promoter correlates with loss of ER-beta expression in mammary carcinoma and is an early indication marker in premalignant lesionsQ81562377
Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profilesQ24536351
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Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohortsQ25257621
Gene expression profiling predicts clinical outcome of breast cancerQ27860732
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Knowledge-based analysis of microarray gene expression data by using support vector machinesQ27939386
About GATA3, HNF3A, and XBP1, three genes co-expressed with the oestrogen receptor-alpha gene (ESR1) in breast cancerQ28262312
A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancerQ28297827
Prediction of pharmacological and xenobiotic responses to drugs based on time course gene expression profilesQ28472125
Assessing the accuracy of prediction algorithms for classification: an overviewQ29615358
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancerQ29615523
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive modelsQ30512428
Minimum redundancy feature selection from microarray gene expression dataQ30988046
Classification of a large microarray data set: algorithm comparison and analysis of drug signaturesQ30988746
Meta-analysis of gene expression data: a predictor-based approachQ31110581
Gene expression profiles of human breast cancer progressionQ33186821
Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer.Q33234978
Whole-genome cartography of estrogen receptor alpha binding sitesQ33286418
A gene sets approach for identifying prognostic gene signatures for outcome predictionQ33316224
Pathway analysis reveals functional convergence of gene expression profiles in breast cancerQ33347604
Feature selection and classification of MAQC-II breast cancer and multiple myeloma microarray gene expression dataQ33518493
Basic microarray analysis: grouping and feature reductionQ34217857
UniHI: an entry gate to the human protein interactomeQ34589297
P407language of work or nameEnglishQ1860
P921main subjectbiomarkerQ864574
P304page(s)S6
P577publication date2011-12-23
P1433published inBMC GenomicsQ15765854
P1476titleMaximizing biomarker discovery by minimizing gene signatures
P478volume12 Suppl 5

Reverse relations

cites work (P2860)
Q35794089A Bayesian approach for inducing sparsity in generalized linear models with multi-category response
Q34173649Genomic signatures and gene networking: challenges and promises
Q37200781Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery
Q36021090Prognostic value of a 92-probe signature in breast cancer
Q35981453Testing an Aflatoxin B1 Gene Signature in Rat Archival Tissues

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