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KDD
2008
ACM
206views Data Mining» more  KDD 2008»
15 years 10 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
15 years 10 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
CSB
2005
IEEE
137views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Improving Operon Prediction in E. coli
In bacterium, genes working in the same pathway or interacting with each other are often organized into operons. Currently, the prediction accuracy for operon/boundary gene pairs ...
PhuongAn Dam, Victor Olman, Ying Xu
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos