ceFinder: Machine Learning Based Prediction of Novel Competing Endogenous RNAs

Authors

Teng Gao, Washington University in St. Louis

Document Type

Abstract for College of Arts & Sciences

Publication Date

Spring 2018

Publication Title

Washington University Senior Honors Thesis Abstracts: WUSHTA, Spring 2018

Abstract

From the Washington University Senior Honors Thesis Abstracts (WUSHTA), Spring 2018. Published by the Office of Undergraduate Research. Joy Zalis Kiefer, Director of Undergraduate Research and Associate Dean in the College of Arts & Sciences; Lindsey Paunovich, Editor; Helen Human, Programs Manager and Assistant Dean in the College of Arts and Sciences Mentor: Ha X. Dang and Christopher A. Maher

Comments

Copyright: All work is copyrighted by the authors and permission to use this work must be granted. The Office of Undergraduate Research can assist in contacting an author.

Recommended Citation

Gao, Teng, "ceFinder: Machine Learning Based Prediction of Novel Competing Endogenous RNAs" (2018). Spring 2018. 41.
https://openscholarship.wustl.edu/wushta_spr2018/41

Filename

GaoTeng_ComputerScienceAndEngineering.pdf