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117
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IJKDB
2010
170views more  IJKDB 2010»
14 years 9 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
138
Voted
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 6 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
97
Voted
NDSS
2006
IEEE
15 years 6 months ago
Toward a Practical Data Privacy Scheme for a Distributed Implementation of the Smith-Waterman Genome Sequence Comparison Algorit
Volunteer distributed computations utilize spare processor cycles of personal computers that are connected to the Internet. The resulting platforms provide computational power pre...
Doug Szajda, Michael Pohl, Jason Owen, Barry G. La...
DAWAK
2006
Springer
15 years 4 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
99
Voted
INAP
2001
Springer
15 years 4 months ago
ISCO: A Practical Language for Logic-Based Construction of Heterogeneous Information Systems
Universidade de ´Evora’s Integrated Information System (SIIUE) aims at representing the entire universe of concepts useful for the management and day-to-day operation of the Or...
Salvador Abreu