1932

Data Science - Challenges and Opportunities

"Biology and medicine have been revolutionized by the availability of data in volumes and velocities that were previously not seen, offering biomedical researchers an opportunity to transform the way they do their work. Special challenges associated with the complexity of the data, science questions and applications make the term 'biomedical data science' useful."
- Russ B. Altman, Editor, Annual Review of Biomedical Data Science

Data Science - Challenges and Opportunities
The collection spans 15 years of research and brings together expert perspectives on data science advances and challenges in biomedical informatics. Diverse subjects are addressed including genomics, psychology, public health, biophysics, privacy, pharmacology, ecology, and biomedical engineering.

This collection is both a fascinating snapshot of the challenges and developments within the broad field of Data Science and a look to future developments.


Annual Review of Biomedical Data Science

Big Data Approaches for Modeling Response and Resistance to Cancer Drugs

Peng Jiang, William R. Sellers, and X. Shirley Liu

Visualization of Biomedical Data

Seán I. O'Donoghue, Benedetta Frida Baldi, Susan J. Clark, Aaron E. Darling, James M. Hogan, Sandeep Kaur, Lena Maier-Hein, Davis J. McCarthy, William J. Moore, Esther Stenau, Jason R. Swedlow, Jenny Vuong, and James B. Procter

Annual Review of Public Health

On Time Series Analysis of Public Health and Biomedical Data

Scott L. Zeger, Rafael Irizarry, and Roger D. Peng

Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health

Arjun K. Manrai, Yuxia Cui, Pierre R. Bushel, Molly Hall, Spyros Karakitsios, Carolyn J. Mattingly, Marylyn Ritchie, Charles Schmitt, Denis A. Sarigiannis, Duncan C. Thomas, David Wishart, David M. Balshaw, and Chirag J. Patel

Annual Review of Biomedical Engineering

Machine Learning for Detection and Diagnosis of Disease

Paul Sajda

Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology

Rohit Bhargava and Anant Madabhushi

Annual Review of Statistics and Its Application

Does Big Data Change the Privacy Landscape? A Review of the Issues

Sallie Ann Keller, Stephanie Shipp, and Aaron Schroeder

Statistical Methods in Integrative Genomics

Sylvia Richardson, George C. Tseng, and Wei Sun

Annual Review of Biophysics

Structural Bioinformatics of the Interactome

Donald Petrey and Barry Honig

Annual Review of Organizational Psychology and Organizational Behavior

More Than Words? Computer-Aided Text Analysis in Organizational Behavior and Psychology Research

Jeremy C. Short, Aaron F. McKenny, and Shane W. Reid

Annual Review of Pharmacology and Toxicology

Challenges for Biomedical Informatics and Pharmacogenomics

Russ B. Altman and Teri E. Klein

Annual Review of Ecology, Evolution, and Systematics

The New Bioinformatics: Integrating Ecological Data from the Gene to the Biosphere

Matthew B. Jones, Mark P. Schildhauer, O.J. Reichman, and Shawn Bowers

Annual Review of Psychology

From Brain Maps to Cognitive Ontologies: Informatics and the Search for Mental Structure

Russell A. Poldrack and Tal Yarkoni

Annual Review of Genomics and Human Genetics

Personalized Pharmacogenomics: Predicting Efficacy and Adverse Drug Reactions

Munir Pirmohamed

Annual Reviews is a nonprofit publisher dedicated to synthesizing and integrating knowledge for the progress of science and the benefit of society.



This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error