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Sequence biases in large scale gene expression profiling data
Asim S. Siddiqui
, Allen D. Delaney
, Angelique Schnerch
,
Obi L. Griffith
, Steven J.M. Jones
, Marco A. Marra
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Siteman Cancer Center
Bursky Center for Human Immunology & Immunotherapy Programs (CHiiPs)
Section of Stem Cell Biology
DBBS - Molecular Cell Biology
DBBS - Biomedical Informatics and Data Science
DBBS - Cancer Biology
DBBS - Immunology
Brain Tumor Center
Research output
:
Contribution to journal
›
Article
›
peer-review
50
Scopus citations
Overview
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Keyphrases
Gene Expression Profiling
100%
Expression Profiling Data
100%
Massively Parallel Signature Sequencing
100%
Sequencing Bias
100%
G+C Content
75%
Gene Expression
50%
Affymetrix
50%
Serial Analysis of Gene Expression
50%
Systematic Error
25%
Random Error
25%
Profiling Method
25%
RefSeq Genes
25%
Affymetrix GeneChip
25%
Experimental Error
25%
Expression Experiments
25%
Sequencing Library
25%
Data Processing Methods
25%
Sensitivity Bias
25%
Computer Science
Profiling Data
100%
Processing Method
100%
GeneChip
100%
Data Processing
100%
Biochemistry, Genetics and Molecular Biology
Gene Expression Profiling
100%
Massively Parallel Signature Sequencing
100%
GC-content
75%
Gene Expression
50%
Serial Analysis of Gene Expression
50%
Serial Analysis of Gene Expression
25%
Earth and Planetary Sciences
Systematic Error
100%
Random Error
100%
Data Transmission
100%
Immunology and Microbiology
Gene Expression
100%
Gene Expression Assay
100%
DNA Base Composition
75%
Data Processing
25%