Artificial Neural Networks

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