Amanote Research
Register
Sign In
A Systematic, Data-Driven Approach to the Combined Analysis of Microarray and QTL Data
Developments in Biologicals
doi 10.1159/000317174
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2008
Authors
C. Rennie
H. Hulme
P. Fisher
L. Hall
M. Agaba
H.A. Noyes
S.J. Kemp
A. Brass
Publisher
KARGER
Related search
Outcome-Driven Cluster Analysis With Application to Microarray Data
PLoS ONE
Multidisciplinary
Multiple-Platform Data Integration Method With Application to Combined Analysis of Microarray and Proteomic Data
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Combined Gene Selection Methods for Microarray Data Analysis
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Mayday SeaSight: Combined Analysis of Deep Sequencing and Microarray Data
PLoS ONE
Multidisciplinary
A First Principles Approach to Differential Expression in Microarray Data Analysis
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Correspondence Analysis Applied to Microarray Data
Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
QTL/microarray Approach Using Pathway Information
Algorithms for Molecular Biology
Computational Theory
Applied Mathematics
Structural Biology
Molecular Biology
Mathematics
A Data-Driven Approach to Online Fitting Services
Analysis of Open Health Data Quality Using Data Object-Driven Approach to Data Quality Evaluation: Insights From a Latvian Context
