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CIBCB
2007
IEEE
13 years 11 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 7 months ago
Simultaneous optimization of complex mining tasks with a knowledgeable cache
With an increasing use of data mining tools and techniques, we envision that a Knowledge Discovery and Data Mining System (KDDMS) will have to support and optimize for the followi...
Ruoming Jin, Kaushik Sinha, Gagan Agrawal
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
12 years 10 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
BMCBI
2002
119views more  BMCBI 2002»
13 years 7 months ago
Microarray results: how accurate are they?
Background: DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips,...
Ravi Kothapalli, Sean J. Yoder, Shrikant Mane, Tho...
ERSA
2006
129views Hardware» more  ERSA 2006»
13 years 8 months ago
Group-Alignment based Accurate Floating-Point Summation on FPGAs
Floating-point summation is one of the most important operations in scientific/numerical computing applications and also a basic subroutine (SUM) in BLAS (Basic Linear Algebra Sub...
Chuan He, Guan Qin, Mi Lu, Wei Zhao