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96
Voted
ISMB
1994
15 years 3 months ago
Neural Networks for Determining Protein Specificity and Multiple Alignment of Binding Sites
Weuse a quantitative definition of specificity to developa neural networkfor the identification of commonprotein binding sites in a collection of unaligned DNAfragments. Wedemonst...
John M. Heumann, Alan S. Lapedes, Gary D. Stormo
137
Voted
BMCBI
2006
175views more  BMCBI 2006»
15 years 1 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
ANSS
2001
IEEE
15 years 5 months ago
Fault Identification in Networks by Passive Testing
In this paper, we employ the finite state machine (FSM) model for networks to investigate fault identification using passive testing. First, we introduce the concept of passive te...
Raymond E. Miller, Khaled A. Arisha
117
Voted
BMCBI
2006
116views more  BMCBI 2006»
15 years 1 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
106
Voted
BMCBI
2008
116views more  BMCBI 2008»
15 years 1 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...