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BIBM
2007
IEEE
15 years 3 months ago
A Semi-supervised Learning Approach to Disease Gene Prediction
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
Thanh Phuong Nguyen, Tu Bao Ho
BMCBI
2010
96views more  BMCBI 2010»
14 years 9 months ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
CBMS
2007
IEEE
14 years 11 months ago
From Local Laboratory Data to Public Domain Database in Search of Indirect Association of Diseases: AJAX Based Gene Data Search
This paper presents an extensible schema for capturing laboratory gene variance data with its meta-data properties in a semi-structured environment. This paper also focuses on the...
Nawaz Khan, Ham Long, Shahedur Rahman, Tony Stockm...
BMCBI
2007
140views more  BMCBI 2007»
14 years 9 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
15 years 10 months ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen