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Translational Medical Research Commons™
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Full-Text Articles in Translational Medical Research
Scalable Feature Selection And Extraction With Applications In Kinase Polypharmacology, Derek Jones
Scalable Feature Selection And Extraction With Applications In Kinase Polypharmacology, Derek Jones
Theses and Dissertations--Computer Science
In order to reduce the time associated with and the costs of drug discovery, machine learning is being used to automate much of the work in this process. However the size and complex nature of molecular data makes the application of machine learning especially challenging. Much work must go into the process of engineering features that are then used to train machine learning models, costing considerable amounts of time and requiring the knowledge of domain experts to be most effective. The purpose of this work is to demonstrate data driven approaches to perform the feature selection and extraction steps in …
Providing Hands-On Training With Bioinformatics Databases: A Collaboration Between Vcu Libraries & Wright Center For Clinical And Translational Research, Karen H. Gau, Julie A. Arendt, Amy Olex, Aaron R. Wolen
Providing Hands-On Training With Bioinformatics Databases: A Collaboration Between Vcu Libraries & Wright Center For Clinical And Translational Research, Karen H. Gau, Julie A. Arendt, Amy Olex, Aaron R. Wolen
VCU Libraries Faculty and Staff Presentations
Background
With the goal of increasing specialized services for researchers, Virginia Commonwealth University (VCU) Libraries sent its basic science librarians to an intensive training on bioinformatics databases, “A Librarian’s Guide to NCBI.” VCU’s Wright Center for Clinical and Translational Research (Wright CCTR) was expanding the educational component of its bioinformatics support around the same time. This year, the librarians partnered with the Wright CCTR to offer an introductory bioinformatics database workshop introducing researchers to genetic/genomic databases.
Methods
For one week in June, sessions were conducted introducing up to 30 faculty and staff to The Cancer Genome Atlas and NCBI’s Gene, …