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BMCBI
2006
165views more  BMCBI 2006»
14 years 12 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
BMCBI
2006
119views more  BMCBI 2006»
14 years 12 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
BMCBI
2006
126views more  BMCBI 2006»
14 years 12 months ago
A joint model of regulatory and metabolic networks
Background: Gene regulation and metabolic reactions are two primary activities of life. Although many works have been dedicated to study each system, the coupling between them is ...
Chen-Hsiang Yeang, Martin Vingron
IANDC
2008
74views more  IANDC 2008»
14 years 12 months ago
Baire categories on small complexity classes and meager-comeager laws
We introduce two resource-bounded Baire category notions on small complexity classes such as P, QUASIPOLY, SUBEXP and PSPACE and on probabilistic classes such as BPP, which differ...
Philippe Moser
BMCBI
2006
124views more  BMCBI 2006»
14 years 12 months ago
HybGFS: a hybrid method for genome-fingerprint scanning
Background: Protein identification based on mass spectrometry (MS) has previously been performed using peptide mass fingerprinting (PMF) or tandem MS (MS/MS) database searching. H...
Kosaku Shinoda, Nozomu Yachie, Takeshi Masuda, Nao...