Preface |
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CANCER PANOMICS: COMPUTATIONAL METHODS AND INFRASTRUCTURE FOR INTEGRATIVE ANALYSIS OF CANCER HIGH-THROUGHPUT "OMICS" DATA |
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1 | (2) |
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Tumor Haplotype Assembly Algorithms for Cancer Genomics |
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3 | (12) |
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Extracting Significant Sample-Specific Cancer Mutations Using Their Protein Interactions |
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15 | (12) |
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The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity |
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27 | (12) |
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Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases |
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39 | (12) |
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Detecting Statistical Interaction Between Somatic Mutational Events and Germline Variation from Next-Generation Sequence Data |
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51 | (12) |
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Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data |
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63 | (12) |
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Integrative Analysis of Two Cell Lines Derived from a Non-Small-Lung Cancer Patient -- A Panomics Approach |
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75 | (12) |
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An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery |
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87 | (12) |
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Multiplex Meta-Analysis of Medulloblastoma Expression Studies with External Controls |
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99 | (11) |
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COMPUTATIONAL APPROACHES TO DRUG REPURPOSING AND PHARMACOLOGY |
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110 | (4) |
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Challenges in Secondary Analysis of High Throughput Screening Data |
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114 | (11) |
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Drug Intervention Response Predictions with Paradigm (DIRPP) Identifies Drug Resistant Cancer Cell Lines and Pathway Mechanisms of Resistance |
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125 | (11) |
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Anti-Infectious Drug Repurposing Using an Integrated Chemical Genomics and Structural Systems Biology Approach |
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136 | (12) |
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Drug-Target Interaction Prediction by Integrating Chemical, Genomic, Functional and Pharmacological Data |
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148 | (12) |
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Prediction of Off-Target Drug Effects Through Data Fusion |
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160 | (12) |
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Exploring the Pharmacogenomics Knowledge Base (PharmGKB) for Repositioning Breast Cancer Drugs by Leveraging Web Ontology Language (OWL) and Cheminformatics Approaches |
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172 | (11) |
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DETECTING AND CHARACTERIZING PLEIOTROPY: NEW METHODS FOR UNCOVERING THE CONNECTION BETWEEN THE COMPLEXITY OF GENOMIC ARCHITECTURE AND MULTIPLE PHENOTYPES |
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183 | (5) |
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Using the Bipartite Human Phenotype Network to Reveal Pleiotropy and Epistasis Beyond the Gene |
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188 | (12) |
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Environment-Wide Association Study (EWAS) for Type 2 Diabetes in the Marshfield Personalized Medicine Research Project Biobank |
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200 | (12) |
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Dissection of Complex Gene Expression Using the Combined Analysis of Pleiotropy and Epistasis |
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212 | (12) |
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PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS THERAPY |
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224 | (5) |
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PATH-SCAN: A Reporting Tool for Identifying Clinically Actionable Variants |
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229 | (12) |
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Imputation-based Assessment of Next Generation Rare Exome Variant Arrays |
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241 | (12) |
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Utilization of an EMR-Biorepository to Identify the Genetic Predictors of Calcineurin-Inhibitor Toxicity in Heart Transplant Recipients |
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253 | (12) |
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Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity |
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265 | (12) |
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Variant Priorization and Analysis Incorporating Problematic Regions of the Genome |
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277 | (11) |
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Bags of Words Models of Epitope Sets: HIV Viral Load Regression with Counting Grids |
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288 | (12) |
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Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning |
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300 | (12) |
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TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY |
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312 | (4) |
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Vector Quantization Kernels for the Classification of Protein Sequences and Structures |
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316 | (12) |
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Combining Heterogenous Data for Prediction of Disease Related and Pharmacogenes |
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328 | (12) |
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A Novel Profile Biomarker Diagnosis for Mass Spectral Proteomics |
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340 | (12) |
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Towards Pathway Curation Through Literature Mining -- A Case Study Using PharmGKB |
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352 | (12) |
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Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients |
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364 | (12) |
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Development of a Data-Mining Algorithm to Identify Ages at Reproductive Milestones in Electronic Medical Records |
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376 | (12) |
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An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function Prediction |
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388 | (12) |
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Matrix Factorization-Based Data Fusion for Gene Function Prediction in Baker's Yeast and Slime Mold |
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400 | (12) |
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Applications of Bioinformatics to Non-Coding RNAs in the Era of Next-Generation Sequencing |
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412 | (5) |
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Building the Next Generation of Quantitative Biologists |
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417 | (5) |
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Uncovering the Etiology of Autism Spectrum Disorders: Genomics, Bioinformatics, Environment, Data Collection and Exploration, and Future Possibilities |
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422 | |
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