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BMCBI
2005
122views more  BMCBI 2005»
15 years 5 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
BIBE
2005
IEEE
15 years 11 months ago
Diagnostic Rules Induced by an Ensemble Method for Childhood Leukemia
We introduce a new ensemble method based on decision tree to discover significant and diversified rules for subtype classification of childhood acute lymphoblastic leukemia, a ...
Jinyan Li, Huiqing Liu, Ling Li
JMLR
2008
209views more  JMLR 2008»
15 years 5 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
AAAI
2008
15 years 8 months ago
Generating Application-Specific Benchmark Models for Complex Systems
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Jun Wang, Gregory M. Provan
BIOINFORMATICS
2010
138views more  BIOINFORMATICS 2010»
15 years 5 months ago
Robust unmixing of tumor states in array comparative genomic hybridization data
Motivation: Tumorigenesis is an evolutionary process by which tumor cells acquire sequences of mutations leading to increased growth, invasiveness, and eventually metastasis. It i...
David Tolliver, Charalampos E. Tsourakakis, Ayshwa...