title: PATTERNS IN BIOMEDICAL DATA-HOW DO WE FIND THEM?
abstract: Given the exponential growth of biomedical data, researchers are faced with numerous challenges in extracting and interpreting information from these large, high-dimensional, incomplete, and often noisy data. To facilitate addressing this growing concern, the "Patterns in Biomedical Data-How do we find them?" session of the 2017 Pacific Symposium on Biocomputing (PSB) is devoted to exploring pattern recognition using data-driven approaches for biomedical and precision medicine applications. The papers selected for this session focus on novel machine learning techniques as well as applications of established methods to heterogeneous data. We also feature manuscripts aimed at addressing the current challenges associated with the analysis of biomedical data.
authors.affiliation: The Pennsylvania State University, Department of Biochemistry and Molecular Biology, 328 Innovation Blvd Ste 210, State College, PA 16803, USA, azo121@psu.edu.
authors.forename: Anna O
authors.initials: AO
authors.lastname: Basile
authors.forename: Anurag
authors.initials: A
authors.lastname: Verma
authors.forename: Marta
authors.initials: M
authors.lastname: Byrska-Bishop
authors.forename: Sarah A
authors.initials: SA
authors.lastname: Pendergrass
authors.forename: Christian
authors.initials: C
authors.lastname: Darabos
authors.forename: H
authors.initials: H
authors.lastname: Lester Kirchner