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HIS
2007
13 years 8 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
ITSL
2008
13 years 8 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
BMCBI
2008
140views more  BMCBI 2008»
13 years 7 months ago
FUNYBASE: a FUNgal phYlogenomic dataBASE
Background: The increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
Sylvain Marthey, Gabriela Aguileta, Françoi...
BMCBI
2007
97views more  BMCBI 2007»
13 years 7 months ago
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
Background: Array comparative genome hybridization (aCGH) provides information about genomic aberrations. Alterations in the DNA copy number may cause the cell to malfunction, lea...
Carmen Lai, Hugo M. Horlings, Marc J. van de Vijve...
BMCBI
2008
101views more  BMCBI 2008»
13 years 7 months ago
Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related
Background: For many types of analyses, data about gene structure and locations of non-coding regions of genes are required. Although a vast amount of genomic sequence data is ava...
Oliver Keller, Florian Odronitz, Mario Stanke, Mar...