Integration Challenges in Gene Expression Data Management

[1]  D. Lockhart,et al.  Expression monitoring by hybridization to high-density oligonucleotide arrays , 1996, Nature Biotechnology.

[2]  H. Pearson Biology's name game , 2001, Nature.

[3]  Victor M. Markowitz,et al.  Applying data warehouse concepts to gene expression data management , 2001, Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001).

[4]  E. Winzeler,et al.  Genomics, gene expression and DNA arrays , 2000, Nature.

[5]  T. Speed,et al.  Summaries of Affymetrix GeneChip probe level data. , 2003, Nucleic acids research.

[6]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[7]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[8]  Michael Stuart,et al.  Understanding Robust and Exploratory Data Analysis , 1984 .

[9]  I-Min A. Chen,et al.  Gene Expression Data Management: A Case Study , 2002, EDBT.

[10]  Anthony Kosky,et al.  Extending traditional query-based integration approaches for functional characterization of post-genomic data , 2001, Bioinform..

[11]  D. Slonim,et al.  Evaluation of normalization procedures for oligonucleotide array data based on spiked cRNA controls , 2001, Genome Biology.

[12]  Val Tannen,et al.  K2/Kleisli and GUS: Experiments in integrated access to genomic data sources , 2001, IBM Syst. J..

[13]  C. Li,et al.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Victor Markowitz,et al.  OPM: Object-Protocol Model Data Management Tools ’97 , 2002 .