Preface |
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Applications Of Genetics, Genomics And Bioinformatics In Drug Discovery |
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1 | (7) |
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Characterization of drug-induced splicing complexity in prostate cancer cell line using long read technology |
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8 | (12) |
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Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures |
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20 | (12) |
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Cell-specific prediction and application of drug-induced gene expression profiles |
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32 | (12) |
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Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action |
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44 | (12) |
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Chemical reaction vector embeddings: towards predicting drug metabolism in the human gut microbiome |
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56 | (12) |
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Loss-of-function of neuroplasticity-related genes confers risk for human neurodevelopmental disorders |
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68 | (12) |
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Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders |
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80 | (12) |
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Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies |
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92 | (12) |
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Challenges Of Pattern Recognition In Biomedical Data |
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104 | (7) |
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Large-scale analysis of disease pathways in the human interactome |
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111 | (12) |
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Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-HI Critical Care Database |
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123 | (10) |
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OWL-NETS: Transforming OWL representations for improved network inference |
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133 | (12) |
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William A. Baumgartner Jr |
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Automated disease cohort selection using word embeddings from Electronic Health Records |
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145 | (12) |
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Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses |
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157 | (11) |
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An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data |
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168 | (12) |
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Hari Krishna Yalamanchili |
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Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula |
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180 | (12) |
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Data-driven advice for applying machine learning to bioinformatics problems |
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192 | (12) |
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Improving the explainability of Random Forest classifier - user centered approach |
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204 | (12) |
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Tree-based methods for characterizing tumor density heterogeneity |
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216 | (12) |
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Veerabhadran Baladandayuthapani |
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How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures? |
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228 | (12) |
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Democratizing Health Data For Translational Research |
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240 | (7) |
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ClinGen Cancer Somatic Working Group - Standardizing and democratizing access to cancer molecular diagnostic data to drive translational research |
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247 | (12) |
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A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods |
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259 | (9) |
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Identifying natural health product and dietary supplement information within adverse event reporting systems |
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268 | (12) |
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Best practices and lessons learned from reuse of 4 patient-derived metabolomics datasets in Alzheimer's disease |
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280 | (12) |
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Democratizing data science through data science training |
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292 | (12) |
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Imaging Genomics |
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304 | (3) |
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Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline |
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307 | (12) |
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Discriminative bag-of-cells for imaging-genomics |
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319 | (12) |
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MRI to MGMT: Predicting methylation status in glioblastoma patients using convolutional recurrent neural networks |
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331 | (12) |
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Deep integrative analysis for survival prediction |
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343 | (10) |
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Genotype-Phenotype association study via new multi-task learning model |
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353 | (12) |
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Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker |
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365 | (12) |
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Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles |
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377 | (12) |
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Precision Medicine: From Diplotypes to Disparties Towards Improved Health And Therapies |
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389 | (11) |
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Single subject transcriptome analysis to identify functionally signed gene set or pathway activity |
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400 | (12) |
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Using simulation and optimization approach to improve outcome through warfarin precision treatment |
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412 | (12) |
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Local ancestry transitions modify snp-trait associations |
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424 | (12) |
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Coalitional game theory as a promising approach to identify candidate autism genes |
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436 | (12) |
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Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression |
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448 | (12) |
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Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure |
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460 | (12) |
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Addressing vital sign alarm fatigue using personalized alarm thresholds |
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472 | (12) |
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Emergence of pathway-level composite biomarkers from converging gene set signals of heterogeneous transcriptomic responses |
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484 | (12) |
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Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributions |
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496 | (11) |
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Reading Between The Genes: Computational Models To Discover Function From Noncoding DNA |
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507 | (5) |
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Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA |
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512 | (12) |
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Convergent downstream candidate mechanisms of independent intergenic polymorphisms between co-classified diseases implicate epistasis among noncoding elements |
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524 | (12) |
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Network analysis of pseudogene-gene relationships: from pseudogene evolution to their functional potentials |
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536 | (12) |
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Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS |
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548 | (11) |
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Advances In Text Mining And Visualization For Precision Medicine |
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559 | (7) |
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Graciela Gonzalez-Hernandez |
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Improving precision in concept normalization |
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566 | (12) |
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William A. Baumgartner Jr |
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VisAGE: Integrating external knowledge into electronic medical record visualization |
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578 | (12) |
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GeneDive: A gene interaction search and visualization tool to facilitate precision medicine |
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590 | (12) |
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Annotating gene sets by mining large literature collections with protein networks |
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602 | (12) |
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Workshops |
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The diversity and disparity in biomedical informatics (DDBI) workshop |
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614 | (4) |
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ClarLynda Williams-DeVane |
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Integrating community-level data resources for precision medicine research |
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618 | (5) |
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Machine learning and deep analytics for biocomputing: Call for better explainability |
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623 | (5) |
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Methods for examining data quality in healthcare integrated data repositories |
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628 | (6) |
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Erratum |
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Erratum: Identifying mutation specific cancer pathways using a structurally resolved protein interaction network |
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634 | |
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