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» Biological Network Inference Using Redundancy Analysis
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94
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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
71
Voted
RECOMB
2004
Springer
15 years 10 months ago
Chromosomal breakpoint re-use in the inference of genome sequence rearrangement
In order to apply gene-order rearrangement algorithms to the comparison of genome sequences, Pevzner and Tesler [9] bypass gene finding and ortholog identification, and use the or...
David Sankoff, Phil Trinh
88
Voted
RECOMB
2005
Springer
15 years 10 months ago
Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data
: A series of genome-scale algorithms and high-performance implementations is described and shown to be useful in the genetic analysis of gene transcription. With them it is possib...
Elissa J. Chesler, Michael A. Langston
IAT
2010
IEEE
14 years 7 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng
BMCBI
2002
126views more  BMCBI 2002»
14 years 9 months ago
RIO: Analyzing proteomes by automated phylogenomics using resampled inference of orthologs
Background: When analyzing protein sequences using sequence similarity searches, orthologous sequences (that diverged by speciation) are more reliable predictors of a new protein&...
Christian M. Zmasek, Sean R. Eddy