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Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions
Using Topology Information for Protein-Protein Interaction Prediction
Biases of drug{target interaction network data
Logol: Expressive Pattern Matching in sequences Application to Ribosomal Frameshift Modeling
Evolutionary Algorithm based on New Crossover for the Biclustering of Gene Expression Data
SFFS-SW: A feature selection algorithm exploring the small-world properties of GNs
CytomicsDB: A Metadata-based storage and retrieval approach for High-Throughput Screening Experiments
CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory
Networks from Expression Data Using Random Forest
SHORT ABSTRACTS
Analysis of miRNA expression profiles in breast cancer using biclustering
Gram-positive and Gram-negative Subcellular Localization Using Rotation Forest and Physicochemical-based Features
Data Driven Feature Selection for RNA-Seq Differential Expression Analysis
Intramuscular fat percentage estimation through ultrasound images
An integrated approach of gene expression and DNA-methylation profiles of WNT signaling genes uncovers novel prognostic markers in Acute Myeloid Leukemia
Improving performance of the eXtasy model by hierarchical sampling
Popovic et al. Ensemble Neural Networks Scoring Functions for Accurate Binding Affinity
Prediction of Protein-Ligand Complexes
Integration of Gene Expression and DNA-methylation Profiles Improves Molecular Subtype Classification in Acute Myeloid Leukemia
The Relative Vertex-to-Vertex Clustering Value- A New Criterion for the Fast Detection of Functional Modules in Protein Interaction Networks.
Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions
Using Topology Information for Protein-Protein Interaction Prediction
Biases of drug{target interaction network data
Logol: Expressive Pattern Matching in sequences Application to Ribosomal Frameshift Modeling
Evolutionary Algorithm based on New Crossover for the Biclustering of Gene Expression Data
SFFS-SW: A feature selection algorithm exploring the small-world properties of GNs
CytomicsDB: A Metadata-based storage and retrieval approach for High-Throughput Screening Experiments
CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory
Networks from Expression Data Using Random Forest
SHORT ABSTRACTS
Analysis of miRNA expression profiles in breast cancer using biclustering
Gram-positive and Gram-negative Subcellular Localization Using Rotation Forest and Physicochemical-based Features
Data Driven Feature Selection for RNA-Seq Differential Expression Analysis
Intramuscular fat percentage estimation through ultrasound images
An integrated approach of gene expression and DNA-methylation profiles of WNT signaling genes uncovers novel prognostic markers in Acute Myeloid Leukemia
Improving performance of the eXtasy model by hierarchical sampling
Popovic et al. Ensemble Neural Networks Scoring Functions for Accurate Binding Affinity
Prediction of Protein-Ligand Complexes
Integration of Gene Expression and DNA-methylation Profiles Improves Molecular Subtype Classification in Acute Myeloid Leukemia
The Relative Vertex-to-Vertex Clustering Value- A New Criterion for the Fast Detection of Functional Modules in Protein Interaction Networks.