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BIODATAMINING
2008
135views more  BIODATAMINING 2008»
15 years 18 days ago
Fast Gene Ontology based clustering for microarray experiments
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
95
Voted
DATE
2009
IEEE
122views Hardware» more  DATE 2009»
15 years 7 months ago
A MILP-based approach to path sensitization of embedded software
—We propose a new methodology based on Mixed Integer Linear Programming (MILP) for determining the input values that will exercise a specified execution path in a program. In or...
José C. Costa, José C. Monteiro
ISMB
1993
15 years 1 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter
CBMS
2008
IEEE
15 years 7 months ago
ProtCV: A Tool for Extracting, Visualizing and Validating Protein Clusters Using Mass Spectra Peak-Lists
We present ProtCV (Protein Clustering and Visualization) a new software tool for grouping samples (mass spectra peak-lists) emanating from a high throughput proteomics analysis ba...
Stavroula Ventoura, Eugenia G. Giannopoulou, Elias...
ICML
2007
IEEE
16 years 1 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen