Artificial Neural Networks

Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis.-&nbsp;Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.-&nbsp;Siamese Neural Networks: An Overview.-&nbsp;Computational Methods for Elucidating Gene Expression Regulation in Bacteria.-&nbsp;Neuro-evolutive Algorithms Applied for Modeling Some Biochemical Separation Processes.-&nbsp;Computational Approaches for de novo Drug Design: Past, Present, and Future.-&nbsp;Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology.-&nbsp;Building and Interpreting Artificial Neural Network Models for Biological Systems.-&nbsp;A Novel Computational Approach for Biomarker Detection for Gene Expression based Computer Aided Diagnostic Systems for Breast Cancer.-&nbsp;Applying Machine Learning for Integration of Multi-modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.-&nbsp;&nbsp;Leverage Large-scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning.-&nbsp;Predicting Host Phenotype based on Gut Microbiome using a Convolutional Neural Network Approach.-&nbsp;Predicting Hot-Spots using a Deep Neural Network Approach.-&nbsp;Using Neural Networks for Relation Extraction from Biomedical Literature.-&nbsp;A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models.-&nbsp;Secure and Scalable Collection of Biomedical Data for Machine Learning Applications.-&nbsp;AI-based Methods and Technologies to Develop Wearable Devices for Prosthetics and Predictions of Degenerative Diseases. <p>&nbsp;</p>