Machine Learning and Datamining in Biomedical Informatics

1. Machine Learning and Datamining in Biomedical Informatics Investigators: Hui Lu, Ph.D., Robert Ezra Langlois, Ph.D.,Bioengineering; Grant Support: NIH, Bioinformatics online • Massive amount of biomedical data are available from high-throughput measurement, such as genome sequence, proteomics, biological pathway, networks, and disease data. • Data processing become the bottleneck of biological discovery and medical analysis • Problem: Protein function prediction, protein functional sites prediction, protein interaction prediction, disease network prediction, biomarker discovery. • Formulate the problem in classification problem • Derive features to represent biological objects • Develop various classification algorithms • Develop multiple-instance boosting algorithms • Developed machine learning algorithms for protein-DNA, protein-membrane, protein structure prediction, disease causing SNP prediction, mass-spec data processing, DNA methylation prediction. • Developed an open-source machine learning software MALIBU • Goal: Biological network analysis and prediction.