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Biological Discovery via Data Science: Multigranular Artificial Intelligence Approaches for Cells, Cerebra and Cruise Ships
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HoloNet: Holographic Networks
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The Creation and Utilization of Bioinformatics Tools to Study Patterns of the Presented HIV Immunopeptidome
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Computer simulations of vesicle transport in plant cells
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New Drugs for an Old Disease: Discovery and Understanding of Antibiotics and Oxidative Stress on the M. smegmatis Transcriptome
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Using AI to Predict Protein Structural Stability
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Multi-cell RNA-Seq: A computational approach
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Viral Pathogenicity with AI
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Augmented DIAMOnD: A Method for Improving Disease Networks Among Human Genes
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Sound Signal Coalescence
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Tracking DNA Damage Repair in Cancerous Cells
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PubMed AuthorMap: A Study of Research Collaboration in the Life Science Fields
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Predicting DNA Damage in Fluorescent Imaging
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Disease Containment Protocols for Confined Environments
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Prioritizing Clinical Genomes
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MOLECULAR EVOLUTION OF EBOLA: A BIOINFORMATICS APPROACH
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New Drugs for An Old Disease: Discovery and Understanding of Antibiotics and Oxidative Stress Effects on the M. smegmatis Transcriptome
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A mixed reality framework for surgical navigation: approach and preliminary results
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Propensity of Endogenous Alternative Splicing to Mediate Mutative Damage
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In Silico Edgetic Profiling and Network Analysis of Human Genetic Variants, with an Application to Disease Module Detection
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ELUCIDATION OF PERSISTENT MUTATIONAL LANDSCAPE IN SARS-CoV-2 MAIN PROTEASE: A STRUCTURAL BIOINFORMATICS ANALYSIS
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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure
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Analysis of the Relationship Between Co-localization of Proteins in Protein Assemblies and Protein Proximity in 3-D Space
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Leveraging Omics Data to Expand the Value and Understanding of Alternative Splicing
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A landscape of population-specific variation effects on ligand binding site in the healthy population
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Patterns of Viral Signal Peptide Sequences and their Corresponding Hosts
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Studying inter- and intra-tumor heterogeneity of triple-negative breast cancer
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Boosting Gene Expression Clustering with System-Wide Biological Information and Deep Learning
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Gene fusions in cancer: Classification of fusion events and regulation patterns of fusion pathway neighbors
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Westborough High School Mental Health Predictive Analyses
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Deep Learning Analysis of Neuroimaging (MRI) Data
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Deep Learning Analysis on Neuroimaging Data to Distinguish Anxiety and Depression Diagnoses in Adolescents
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