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» Classification of gene expression data using fuzzy logic
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IJFCS
2006
130views more  IJFCS 2006»
13 years 7 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
BIOINFORMATICS
2006
129views more  BIOINFORMATICS 2006»
13 years 7 months ago
Predicting methylation status of CpG islands in the human brain
Motivation: Over 50% of human genes contain CpG islands in their 5'-regions. Methylation patterns of CpG islands are involved in tissue-specific gene expression and regulatio...
Fang Fang, Shicai Fan, Xuegong Zhang, Michael Q. Z...
BMCBI
2011
13 years 2 months ago
Logical Development of the Cell Ontology
Background: The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingl...
Terrence F. Meehan, Anna Maria Masci, Amina Abdull...
JMLR
2010
163views more  JMLR 2010»
13 years 2 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
FUZZIEEE
2007
IEEE
14 years 1 months ago
Mining and Predicting CpG islands
— A DNA sequence can be described as a string composed of four symbols: A, T, C and G. Each symbol represents a chemically distinct nucleotide molecule. Combinations of two nucle...
Christopher Previti, Oscar Harari, Coral del Val