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
PDF Tools
Image Tools
Text Tools
OCR Tools
Symbol and Emoji Tools
On-screen Keyboard
Latex Math Equation to Image
Smart IPA Phonetic Keyboard
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
193
click to vote
IDA
2016
Springer
56
views
Information Technology
»
more
IDA 2016
»
Using a Human Drug Network for generating novel hypotheses about drugs
10 years 12 days ago
Download
lirias.kuleuven.be
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
Real-time Traffic
IDA 2016
|
Information Technology
|
claim paper
Related Content
»
Prediction of potential drug targets based on simple sequence properties
»
FragmentStore a comprehensive database of fragments linking metabolites toxic molecules a...
»
Extracting causal relations on HIV drug resistance from literature
»
Detection of chromosomal regions showing differential gene expression in human skeletal mu...
»
Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a CaseControl Study of E...
»
Contentbased microarray search using differential expression profiles
»
MSDOCK Accurate multiple conformation generator and rigid docking protocol for multistep v...
»
Storytelling in entity networks to support intelligence analysts
»
Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution
»
The modeled structure of the RNA dependent RNA polymerase of GBVC Virus suggests a role fo...
more »
Post Info
More Details (n/a)
Added
04 Apr 2016
Updated
04 Apr 2016
Type
Journal
Year
2016
Where
IDA
Authors
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision