Key issues in conducting a meta-analysis of gene expression microarray datasets.

Key issues in conducting a meta-analysis of gene expression microarray datasets.

Show other versions (1)

Bibliographic Details
Main Authors:	Ramasamy, A, Mondry, A, Holmes, C, Altman, D
Format:	Journal article
Language:	English
Published:	2008

Similar Items

Key issues in conducting a meta-analysis of gene expression microarray datasets.
by: Ramasamy, A, et al.
Published: (2008)

An Entropy-based gene selection method for cancer classification using microarray data
by: Krishnan Arun, et al.
Published: (2005-03-01)

Meta-analysis of gene expression microarrays with missing replicates
by: Leckie Christopher, et al.
Published: (2011-03-01)

Methods for evaluating gene expression from Affymetrix microarray datasets
by: Waugh Robbie, et al.
Published: (2008-06-01)

Differentially Expressed Genes in Atopic Dermatitis: Bioinformatics analysis of pooled microarray gene expression datasets in Gene Expression Omnibus
by: Danna Jia, et al.
Published: (2024-03-01)

Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcome
by: Fenstermacher David A, et al.
Published: (2007-09-01)

Microarray Gene Expression Dataset Re-analysis Reveals Variability in Influenza Infection and Vaccination
by: Lavida R. K. Rogers, et al.
Published: (2019-11-01)

Meta-analysis of multiple microarray datasets reveals a common gene signature of metastasis in solid tumors
by: Hilsenbeck Susan G, et al.
Published: (2011-07-01)

Identification of key genes and biological regulatory mechanisms in diabetic nephropathy: Meta-analysis of gene expression datasets
by: Fatemeh Hojjati, et al.
Published: (2023-09-01)

Identification of key genes and biological regulatory mechanisms in diabetic nephropathy: Meta-analysis of gene expression datasets
by: Fatemeh Hojjati, et al.
Published: (2023-09-01)

Transcriptomic responses to wounding: meta-analysis of gene expression microarray data
by: Piotr Andrzej Sass, et al.
Published: (2017-11-01)

Identification of common prognostic gene expression signatures with biological meanings from microarray gene expression datasets.
by: Jun Yao, et al.
Published: (2012-01-01)

Gene expression microarray public dataset reanalysis in chronic obstructive pulmonary disease.
by: Lavida R K Rogers, et al.
Published: (2019-01-01)

Analysis of microarray gene expression data /
by: 389078 Lee, Mei-Ling Ting
Published: (2004)

Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction
by: John H. Phan, et al.
Published: (2012-01-01)

A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy
by: Archer Kellie J, et al.
Published: (2008-02-01)

Identification of key genes effective in tolerance to drought stress in rice through meta-analysis of microarray data
by: Sedigheh Soltanpour, et al.
Published: (2023-09-01)

Analyzing microarray gene expression data /
by: McLachlan, Geoffrey J., 1946-, et al.
Published: (2004)

A meta-analysis of microarray gene expression in mouse stem cells: redefining stemness.
by: Yvonne J K Edwards, et al.
Published: (2008-07-01)

The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets
by: Berger Fabrice, et al.
Published: (2008-09-01)

Advanced analysis of gene expression microarray data /
by: Zhang, Aidong, 1961-
Published: (2006)

Statistical analysis of gene expression microarray data /
by: Speed, Terry
Published: (2003)

A meta-analysis of kidney microarray datasets: investigation of cytokine gene detection and correlation with rt-PCR and detection thresholds
by: Stegall Mark D, et al.
Published: (2007-03-01)

A meta-analysis of microarray datasets to identify biological regulatory networks in Alzheimer’s disease
by: Kimia Sadat Hashemi, et al.
Published: (2023-08-01)

Relative impact of key sources of systematic noise in Affymetrix and Illumina gene-expression microarray experiments
by: Kitchen Robert R, et al.
Published: (2011-12-01)

Investigation of molecular biomarker candidates for diagnosis and prognosis of chronic periodontitis by bioinformatics analysis of pooled microarray gene expression datasets in Gene Expression Omnibus (GEO)
by: Asami Suzuki, et al.
Published: (2019-03-01)

Combining gene expression microarrays and Mendelian randomization: exploring key immune-related genes in multiple sclerosis
by: Shuangfeng Ding, et al.
Published: (2024-11-01)

Microarray dataset supporting a role for ATF4 in isoginkgetin-induced gene expression in HCT116 cells.
by: Erin van Zyl, et al.
Published: (2022-06-01)

Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays.
by: Thomas Sanford, et al.
Published: (2011-01-01)

GTI: a novel algorithm for identifying outlier gene expression profiles from integrated microarray datasets.
by: John Patrick Mpindi, et al.
Published: (2011-01-01)

Detect Key Gene Information in Classification of Microarray Data
by: Yihui Liu
Published: (2008-06-01)

Microarray gene expression profiling and analysis in renal cell carcinoma
by: Sadhukhan Provash, et al.
Published: (2004-06-01)

Identification of human housekeeping genes and tissue-selective genes by microarray meta-analysis.
by: Cheng-Wei Chang, et al.
Published: (2011-01-01)

Integrating multiple microarray dataset analysis and machine learning methods to reveal the key genes and regulatory mechanisms underlying human intervertebral disc degeneration
by: Hongze Chang, et al.
Published: (2020-10-01)

DNA microarrays : gene expression applications /
by: Jordan, Bertrand
Published: (2001)

Constructing gene network from microarray dataset using Bayesian network /
by: 414925 Yee, Yann Mey, et al.
Published: (2006)

Meta-analysis of microarray datasets identify several chromosome segregation-related cancer/testis genes potentially contributing to anaplastic thyroid carcinoma
by: Mu Liu, et al.
Published: (2018-10-01)

Correction: GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets
Published: (2011-01-01)

Correction: GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets.
by: John Patrick Mpindi, et al.
Published: (2011-01-01)

Deep gene selection method to select genes from microarray datasets for cancer classification
by: Russul Alanni, et al.
Published: (2019-11-01)