Data Integration in the Life Sciences

Data Integration Technologies.- Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury.- Vidal, Elena Zotkina, and Louiqa Raschid GEM: The GAAIN Entity Mapper.- Data Integration in the Human Brain Project.- SchizConnect: Virtual Data Integration in Neuroimaging.- Ontology and Knowledge Engineering for Data Integration Annotating Medical Forms Using UMLS.- OnSim: A Similarity Measure for Determining Relatedness Between Ontology Terms.- AnnEvol: An Evolutionary Framework to Description Ontology-Based Annotations.- Terminology Development Towards Harmonizing Multiple Clinical Neuroimaging Research Repositories.- Creating Biomedical Ontologies Using mOntage.- Creation of Definitions for Ontologies: A Case Study in the Leukemia Domain.- Biomedical Data Standards and Coding Integration of Hematopoietic Cell Transplantation Outcomes Data: Data Standards Are Not Enough.- ICD Code Retrieval: Novel Approach for Assisted Disease Classification.- Medical Research Applications.- Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury.- SVI: A Simple Single-Nucleotide Human Variant Interpretation Tool for Clinical Use.- Quality Control Considerations for the Effective Integration of Neuroimaging Data.- Integration of Behavioral, Structural, Functional, and Genetic Datafor the Study of Autism Spectrum Disorders.- Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining.- Inference and Verification of Probabilistic Graphical Models from High-Dimensional Data.- SPIRIT-ML: A Machine Learning Platform for Deriving Knowledgefrom Biomedical Datasets.- Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene.- Graduate Student Consortium.- GAAIN Virtual Appliances: Virtual Machine Technology for Scientific Data Analysis.- The GAAIN Entity Mapper: Towards Practical Medical Informatics Application.-