BYU ScholarsArchive

Title

Find Gene Expression Data Quickly

Authors

Grace Salmons, Brigham Young University - ProvoFollow
Aaron Joyce Fabelico, Brigham Young University - Provo
James Wengler, Brigham Young University - Provo
Stephen R. Piccolo, Brigham Young University - Provo

Files

Keywords

Natural Language Processing (NLP), data repositories

Abstract

Public repositories are:

• vital for validating studies

• incredible for addressing novel hypothesis.

However, it can be difficult to find data related to discrete topics due to:

• large quantity of data

• heterogeneity in how researchers describe their data and study designs.

Manual annotation of data cannot keep pace with the rapid pace of science. We turned to Natural Language Processing (NLP) for a solution!

BYU ScholarsArchive Citation

Salmons, Grace; Fabelico, Aaron Joyce; Wengler, James; and Piccolo, Stephen R., "Find Gene Expression Data Quickly" (2023). Library/Life Sciences Undergraduate Poster Competition 2023. 44.
https://scholarsarchive.byu.edu/library_studentposters_2023/44

Document Type

Poster

Publication Date

2023-02-21

Language

English

College

Life Sciences

Department

Biology

University Standing at Time of Publication

Sophomore

Copyright Use Information

https://lib.byu.edu/about/copyright/