Keyword

microarray gene expression

Description: Measurement and analysis of gene activity across samples using microarrays that detect and quantify transcript abundance.

Primary topic: Gene expression and cancer classification (42%)

OpenAlex ID: keywords/microarray-gene-expression

A Gene-Expression Signature as a Predictor of Survival in Breast Cancer

2002 · Marc J. van de Vijver, Yudong D. He, et al. · New England Journal of Medicine · 6,487

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Minimum Redundancy Feature Selection From Microarray Gene Expression Data

2005 · CHRIS DING, HANCHUAN PENG · Journal of Bioinformatics and Computational Biology · 2,752

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

2010 · Vân Anh Huynh-Thu, Alexandre Irrthum, et al. · PLoS ONE · 2,118

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Gene-Expression Profiles in Hereditary Breast Cancer

2001 · Ingrid Hedenfalk, David Duggan, et al. · New England Journal of Medicine · 1,733

Selection bias in gene extraction on the basis of microarray gene-expression data

2002 · Christophe Ambroise, Geoffrey J. McLachlan · Proceedings of the National Academy of Sciences · 1,484

The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community

2003 · S. Y. Rhee · Nucleic Acids Research · 921

5-Fluorouracil: Mechanisms of Resistance and Reversal Strategies

2008 · Ning Zhang, Ying Yin, et al. · Molecules · 773

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Enhanced Differentiation of Human Neural Stem Cells into Neurons on Graphene

2011 · Sung Young Park, Jaesung Park, et al. · Advanced Materials · 703

Network-constrained regularization and variable selection for analysis of genomic data

2008 · Caiyan Li, Hongzhe Li · Bioinformatics · 599

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Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data

2005 · J. Gui, H. Li · Computer applications in the biosciences · 551

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Minimum redundancy feature selection from microarray gene expression data

2004 · C. Ding, H. Peng · 506

High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics

2008 · Carlos M. Carvalho, Jeffrey Chang, et al. · Journal of the American Statistical Association · 471

Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases

2016 · Mariet Allen, Minerva M. Carrasquillo, et al. · Scientific Data · 439

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Reverse engineering gene networks: Integrating genetic perturbations with dynamical modeling

2003 · Jesper Tegnér, M. K. Stephen Yeung, et al. · Proceedings of the National Academy of Sciences · 432

Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses

2015 · Vegard Nygaard, Einar Andreas Rødland, et al. · Biostatistics · 377

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A mixture model approach for the analysis of microarray gene expression data

2002 · David B. Allison, Gary L. Gadbury, et al. · Computational Statistics & Data Analysis · 360

Variation within and among species in gene expression: raw material for evolution

2006 · ANDREW WHITEHEAD, DOUGLAS L. CRAWFORD · Molecular Ecology · 345

A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

2010 · J Luo, M Schumacher, et al. · The Pharmacogenomics Journal · 331

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The Pathogenesis of Systemic Sclerosis

2011 · Tamiko R. Katsumoto, Michael L. Whitfield, et al. · Annual Review of Pathology Mechanisms of Disease · 320

A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes

2012 · Benjamin Haibe-Kains, Christine Desmedt, et al. · JNCI Journal of the National Cancer Institute · 313

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Rosetta error model for gene expression analysis

2006 · Lee Weng, Hongyue Dai, et al. · Bioinformatics · 305

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Evaluation and comparison of gene clustering methods in microarray analysis

2006 · Anbupalam Thalamuthu, Indranil Mukhopadhyay, et al. · Bioinformatics · 301

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Random frog: An efficient reversible jump Markov Chain Monte Carlo-like approach for variable selection with applications to gene selection and disease classification

2012 · Hong-Dong Li, Qing-Song Xu, et al. · Analytica Chimica Acta · 282

Online Feature Selection and Its Applications

2013 · Jialei Wang, Peilin Zhao, et al. · IEEE Transactions on Knowledge and Data Engineering · 275

A comparative study of different machine learning methods on microarray gene expression data

2008 · Mehdi Pirooznia, Jack Y Yang, et al. · BMC Genomics · 259

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Works count: 1,758

Citation count: 48,480