Preface |
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ix | |
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AI-DRIVEN ADVANCES IN MODELING OF PROTEIN STRUCTURE |
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Session Introduction: AI-Driven Advances in Modeling of Protein Structure |
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1 | (9) |
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Training Data Composition Affects Performance of Protein Structure Analysis Algorithms |
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10 | (12) |
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Transferability of Geometric Patterns from Protein Self-Interactions to Protein-Ligand Interactions |
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22 | (12) |
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Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention |
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34 | (12) |
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Side-Chain Packing Using SE(3)-Transformer |
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46 | (10) |
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DeepVASP-E: A Flexible Analysis of Electrostatic Isopotentials for Finding and Explaining Mechanisms that Control Binding Specificity |
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56 | (12) |
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BIG DATA IMAGING GENOMICS |
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Session Introduction: Big Data Imaging Genomics |
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68 | (5) |
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A New Mendelian Randomization Method to Estimate Causal Effects of Multivariable Brain Imaging Exposures |
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73 | (12) |
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Efficient Differentially Private Methods for a Transmission Disequilibrium Test in Genome Widen Association Studies |
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85 | (12) |
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Identifying Imaging Genetic Associations via Regional Morphometricity Estimation |
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97 | (12) |
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Identifying Highly Heritable Brain Amyloid Phenotypes Through Mining Alzheimer's Imaging and Sequencing Biobank Data |
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109 | (12) |
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Effects of ApoE4 and ApoE2 Genotypes on Subcortical Magnetic Susceptibility and Microstructure in 27,535 Participants from the UK Biobank |
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121 | (12) |
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Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product |
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133 | (11) |
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Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types |
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144 | (12) |
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HUMAN INTRIGUE: META-ANALYSIS APPROACHES FOR BIG QUESTIONS WITH BIG DATA WHILE SHAKING UP THE PEER REVIEW PROCESS |
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Session Introduction: Human Intrigue: Meta-Analysis Approaches for Big Questions with Big Data While Shaking Up the Peer Review Process |
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156 | (7) |
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Multitask Group Lasso for Genome Wide Association Studies in Diverse Populations |
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163 | (12) |
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Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction Using Spatially Localized Immuno-Oncology Markers |
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175 | (12) |
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Improving QSAR Modeling for Predictive Toxicology Using Publicly Aggregated Semantic Graph Data and Graph Neural Networks |
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187 | (12) |
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CAMML: Multi-Label Immune Cell-Typing and Sternness Analysis for Single-Cell RNA-Sequencing |
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199 | (12) |
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Reconciling Signaling Pathway Databases with Network Topologies |
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211 | (12) |
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PRECISION MEDICINE: USING ARTIFICIAL INTELLIGENCE TO IMPROVE DIAGNOSTICS AND HEALTHCARE |
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Session Introduction: Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare |
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223 | (8) |
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Interpretable Deep Learning Prediction of 3D Assessment of Cardiac Function |
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231 | (11) |
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Predicting Visuo-Motor Diseases from Eye Tracking Data |
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242 | (12) |
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Identifying Cell Type-Specific Chemokine Correlates with Hierarchical Signal Extraction from Single-Cell Transcriptomes |
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254 | (12) |
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Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories |
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266 | (12) |
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De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-Based Graph Regularized Matrix Factorization |
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278 | (12) |
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Clinical Recommender Algorithms to Simulate Digital Specialty Consultations |
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290 | (11) |
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A Novel Approach for Time Series Forecasting of Influenza-Like Illness Using a Regression Chain Method |
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301 | (12) |
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Nooriyah Poorawala-Lohani |
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A Method for Localizing Non-Reference Sequences to the Human Genome |
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313 | (12) |
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Peter Yigitcan Washington |
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Netcrs: Network-Based Comorbidity Risk Score for Prediction of Myocardial Infarction Using Biobank-Scaled PheWAS Data |
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325 | (12) |
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CloudPred: Predicting Patient Phenotypes from Single-Cell RNA-Seq |
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337 | (12) |
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Nonlinear Post-Selection Inference for Genome-Wide Association Studies |
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349 | (12) |
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Evaluation of Sex-Aware PrediXcan Models for Predicting Gene Expression |
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361 | (12) |
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Multi-Omic Graph Transformers for Cancer Classification and Interpretation |
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373 | (12) |
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An Investigation of the Knowledge Overlap Between Pharmacogenomics and Disease Genetics |
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385 | (12) |
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Emerging Topics in Cancer Evolution |
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397 | (5) |
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Genomic and Synthetic Biology Digital Biosecurity |
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402 | (5) |
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Image-Based Profiling: A Powerful and Challenging New Data Type |
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407 | (5) |
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Packaging Biocomputing Software to Maximize Distribution and Reuse |
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412 | (5) |
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Social, Technical, and Ethical Challenges in Biomedical Data Privacy |
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417 | |
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