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» From Functional Analysis to Iterative Methods
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133
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CIARP
2006
Springer
15 years 5 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
152
Voted
BMCBI
2011
14 years 10 months ago
OrthoInspector: comprehensive orthology analysis and visual exploration
Background: The accurate determination of orthology and inparalogy relationships is essential for comparative sequence analysis, functional gene annotation and evolutionary studie...
Benjamin Linard, Julie D. Thompson, Olivier Poch, ...
137
Voted
ISMB
1994
15 years 5 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
118
Voted
ICCAD
2001
IEEE
192views Hardware» more  ICCAD 2001»
16 years 16 days ago
BOOM - A Heuristic Boolean Minimizer
We present a two-level Boolean minimization tool (BOOM) based on a new implicant generation paradigm. In contrast to all previous minimization methods, where the implicants are ge...
Jan Hlavicka, Petr Fiser
164
Voted
BMCBI
2007
163views more  BMCBI 2007»
15 years 3 months ago
Strainer: software for analysis of population variation in community genomic datasets
Background: Metagenomic analyses of microbial communities that are comprehensive enough to provide multiple samples of most loci in the genomes of the dominant organism types will...
John M. Eppley, Gene W. Tyson, Wayne M. Getz, Jill...