Pacific Symposium On Biocomputing 2014, 1st Edition

  • Published By: World Scientific Publishing Company
  • ISBN-10: 9814583227
  • ISBN-13: 9789814583220
  • DDC: 570.15118
  • Grade Level Range: College Freshman - College Senior
  • 436 Pages | eBook
  • Original Copyright 2013 | Published/Released January 2015
  • This publication's content originally published in print form: 2013

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The Pacific Symposium on Biocomputing (PSB) 2014 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2014 will be held from January 3 - 7, 2014 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2014 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Pacific Symposium on Biocomputing 2014.
1: Cancer Panomics: Computational Methods and Infrastructure for Integrative Analysis of Cancer High-Throughput “Omics” Data.
2: Session Introduction.
3: Tumor Haplotype Assembly Algorithms for Cancer Genomics.
4: Extracting Significant Sample-Specific Cancer Mutations Using their Protein Interactions.
5: The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity.
6: Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases.
7: Detecting Statistical Interaction between Somatic Mutational Events and Germline Variation from Next-Generation Sequence Data.
8: Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data.
9: Integrative Analysis of Two Cell Lines Derived from a Non-Small-Lung Cancer Patient – A Panomics Approach.
10: An Integrated Approach to Blood-Based Cancer Diagnosis and Biomarker Discovery.
11: Multiplex Meta-Analysis of Medulloblastoma Expression Studies with External Controls.
12: Computational Approaches to Drug Repurposing and Pharmacology.
13: Session Introduction.
14: Challenges in Secondary Analysis of High Throughput Screening Data.
15: Drug Intervention Response Predictions with Paradigm (DIRPP) Identifies Drug Resistant Cancer Cell Lines and Pathway Mechanisms of Resistance.
16: Anti-Infectious Drug Repurposing Using an Integrated Chemical Genomics and Structural Systems Biology Approach.
17: Drug-Target Interaction Prediction by Integrating Chemical, Genomic, Functional and Pharmacological Data.
18: Prediction of Off-Target Drug Effects through Data Fusion.
19: Exploring the Pharmacogenomics Knowledge Base (PharmGKB) for Repositioning Breast Cancer Drugs by Leveraging Web Ontology Language (OWL) and Cheminformatics Approaches.
20: Detecting and Characterizing Pleiotropy: New Methods for Uncovering the Connection Between the Complexity of Genomic Architecture and Multiple Phenotypes.
21: Session Introduction.
22: Using the Bipartite Human Phenotype Network to Reveal Pleiotropy and Epistasis Beyond the Gene.
23: Environment-Wide Association Study (EWAS) for Type 2 Diabetes in the Marshfield Personalized Medicine Research Project Biobank.
24: Dissection of Complex Gene Expression Using the Combined Analysis of Pleiotropy and Epistasis.
25: Personalized Medicine: From Genotypes and Molecular Phenotypes Towards Therapy.
26: Session Introduction.
27: PATH-SCAN: A Reporting Tool for Identifying Clinically Actionable Variants.
28: Imputation-based Assessment of Next Generation Rare Exome Variant Arrays.
29: Utilization of an EMR-Biorepository to Identify the Genetic Predictors of Calcineurin-Inhibitor Toxicity in Heart Transplant Recipients.
30: Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity.
31: Variant Priorization and Analysis Incorporating Problematic Regions of the Genome.
32: Bags of Words Models of Epitope Sets: HIV Viral Load Regression with Counting Grids.
33: Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning.
34: Text and Data Mining for Biomedical Discovery.
35: Session Introduction.
36: Vector Quantization Kernels for the Classification of Protein Sequences and Structures.
37: Combining Heterogenous Data for Prediction of Disease Related and Pharmacogenes.
38: A Novel Profile Biomarker Diagnosis for Mass Spectral Proteomics.
39: Towards Pathway Curation through Literature Mining – A Case Study Using PharmGKB.
40: Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients.
41: Development of a Data-Mining Algorithm to Identify Ages at Reproductive Milestones in Electronic Medical Records.
42: An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function Prediction.
43: Matrix Factorization-Based Data Fusion for Gene Function Prediction in Baker's Yeast and Slime Mold.
44: Workshops.
45: Applications of Bioinformatics to Non-Coding RNAs in the Era of Next-Generation Sequencing.
46: Building the Next Generation of Quantitative Biologists.
47: Uncovering the Etiology of Autism Spectrum Disorders: Genomics, Bioinformatics, Environment, Data Collection and Exploration, and Future Possibilities.