Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
23
click to vote
KDID
2003
favorite
Email
discuss
report
91
views
Database
»
more
KDID 2003
»
Mining Concepts from Large SAGE Gene Expression Matrices
14 years 5 days ago
Download
users.info.unicaen.fr
François Rioult, Céline Robardet, Sy
Real-time Traffic
Database
|
KDID 2003
|
claim paper
Related Content
»
Assessment of discretization techniques for relevant pattern discovery from gene expressio...
»
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analy...
»
Identifying overrepresented concepts in gene lists from literature a statistical approach ...
»
Exploration and visualization of gene expression with neuroanatomy in the adult mouse brai...
»
Parallel computation of high dimensional robust correlation and covariance matrices
»
From Local Pattern Mining to Relevant Bicluster Characterization
»
Literatureaided metaanalysis of microarray data a compendium study on muscle development a...
»
Convex nonnegative matrix factorization for massive datasets
more »
Post Info
More Details (n/a)
Added
31 Oct 2010
Updated
31 Oct 2010
Type
Conference
Year
2003
Where
KDID
Authors
François Rioult, Céline Robardet, Sylvain Blachon, Bruno Crémilleux, Olivier Gandrillon, Jean-François Boulicaut
Comments
(0)
Researcher Info
Database Study Group
Computer Vision