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Strategies in Biomedical Data Science : Driving Force for Innovation.
An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demon...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Somerset :
John Wiley & Sons, Incorporated,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Additional Praise; Wiley & SAS Business Series; Title page; Copyright; Foreword; Acknowledgments; Introduction; WHO SHOULD READ THIS BOOK?; WHAT'S IN THIS BOOK?; HOW TO CONTACT US; Chapter 1 Healthcare, History, and Heartbreak; TOP ISSUES IN HEALTHCARE; DATA MANAGEMENT; BIOSIMILARS, DRUG PRICING, AND PHARMACEUTICAL COMPOUNDING; PROMISING AREAS OF INNOVATION; CONCLUSION; NOTES; Chapter 2 Genome Sequencing; CHALLENGES OF GENOMIC ANALYSIS; THE LANGUAGE OF LIFE; A BRIEF HISTORY OF DNA SEQUENCING; DNA SEQUENCING AND THE HUMAN GENOME PROJECT; SELECT TOOLS FOR GENOMIC ANALYSIS; The R Project.
- Genome Analysis ToolkitMolecular Evolutionary Genetics Analysis; Bowtie; CONCLUSION; Notes; Note; Chapter 3 Data Management; BITS ABOUT DATA; DATA TYPES; DATA SECURITY AND COMPLIANCE; DATA STORAGE; SWIFTSTACK; CONCLUSION; NOTES; Note; Chapter 4 Designing a Data-Ready€Network Infrastructure; RESEARCH NETWORKS: A PRIMER; ESNET AT 30: EVOLVING TOWARD EXASCALE AND RAISING EXPECTATIONS; INTERNET2 INNOVATION PLATFORM; ADVANCES IN NETWORKING; INFINIBAND AND MICROSECOND LATENCY; THE FUTURE OF HIGH-PERFORMANCE FABRICS; NETWORK FUNCTION VIRTUALIZATION; SOFTWARE-DEFINED NETWORKING; OPENDAYLIGHT.
- CONCLUSIONNOTES; Chapter 5 Data-Intensive Compute Infrastructures; BIG DATA APPLICATIONS IN HEALTH INFORMATICS; SOURCES OF BIG DATA IN HEALTH INFORMATICS; INFRASTRUCTURE FOR BIG DATA ANALYTICS; FUNDAMENTAL SYSTEM PROPERTIES; GPU-ACCELERATED COMPUTING AND BIOMEDICAL INFORMATICS; CONCLUSION; NOTES; NOTES; INTRODUCTION; EVIS; SCIENTIFIC COMPUTING; VALIDATION; MEDICAL DEVICE DEVELOPMENT; CONCLUSION; Note; Chapter 6 Cloud Computing and Emerging Architectures; CLOUD BASICS; CHALLENGES FACING CLOUD COMPUTING APPLICATIONS IN BIOMEDICINE; HYBRID CAMPUS CLOUDS; RESEARCH AS A SERVICE.
- FEDERATED ACCESS WEB PORTALSCLUSTER HOMOGENEITY; EMERGING ARCHITECTURES (ZETA ARCHITECTURE); CONCLUSION; NOTES; Chapter 7 Data Science; NOSQL APPROACHES TO BIOMEDICAL DATA SCIENCE; USING SPLUNK FOR DATA ANALYTICS; STATISTICAL ANALYSIS OF GENOMIC DATA WITH HADOOP; EXTRACTING AND TRANSFORMING GENOMIC DATA; PROCESSING EQTL DATA; GENERATING MASTER SNP FILES FOR CASES AND CONTROLS; GENERATING GENE EXPRESSION FILES FOR CASES AND€CONTROLS; CLEANING RAW DATA USING MAPREDUCE; TRANSPOSE DATA USING PYTHON; STATISTICAL ANALYSIS USING SPARK; HIVE TABLES WITH PARTITIONS; CONCLUSION; NOTES.
- Appendix: A Brief Statistics Primer Content Contributed by Daniel Peñnaherrera, July 13, 2016FOUNDATIONS; POPULATION AND SAMPLE; RANDOM VARIABLES; EXPECTED VALUE AND VARIANCE; REGRESSION ANALYSIS; MULTIVARIATE LINEAR REGRESSION; LOGISTIC REGRESSION; Chapter 8 Next-Generation Cyberinfrastructures; Next-Generation Cyber Capability; NGCC DESIGN AND INFRASTRUCTURE; Conclusion; NOTE; Conclusion; Appendix A The Research Data Management Survey; Appendix B Central IT and Research Support; INSTITUTIONAL DEMOGRAPHICS (BACKGROUND); OVERVIEW OF CENTRAL IT ORGANIZATIONS; CENTRAL IT INFRASTRUCTURE.