Statistical analysis of global gene expression data: some practical considerations
- 1 February 2004
- journal article
- research article
- Published by Elsevier in Current Opinion in Biotechnology
- Vol. 15 (1) , 52-57
- https://doi.org/10.1016/j.copbio.2003.12.004
Abstract
No abstract availableKeywords
This publication has 58 references indexed in Scilit:
- Genome-Scale Analysis of the Uses of the Escherichia coli Genome: Model-Driven Analysis of Heterogeneous Data SetsJournal of Bacteriology, 2003
- Post‐normalization quality assessment visualization of microarray dataComparative and Functional Genomics, 2003
- The Transcriptome of the Intraerythrocytic Developmental Cycle of Plasmodium falciparumPLoS Biology, 2003
- Microarrays: How Many Do You Need?Journal of Computational Biology, 2003
- Identification of co-regulated genes through Bayesian clustering of predicted regulatory binding sitesNature Biotechnology, 2003
- Identifying differentially expressed genes using false discovery rate controlling proceduresBioinformatics, 2003
- Transitive functional annotation by shortest-path analysis of gene expression dataProceedings of the National Academy of Sciences, 2002
- Determining the Genomic Locations of Repetitive DNA Sequences with a Whole-Genome Microarray: IS 6110 in Mycobacterium tuberculosisJournal of Clinical Microbiology, 2002
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression DataJournal of the American Statistical Association, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002