top of page

Github Link for codebase: https://github.com/spawar2/INBRE-EPSCoR-RET

https://github.com/spawar2/NSF-INBRE-EPSCoR-RET

https://github.com/ethaharikanaidu

This project in collaboration with Harika Baidu, teacher at Bamberg Ehrhardt High School (Summer 2022).  Institutional Development Award (IDeA) Networks of Biomedical Research Excellence (INBRE) Research Education of Teachers (RET)

Machine learning applications for studying check-point genes expressed in ten different human cancer types. Machine learning applications for studying check-point genes expressed in human Ovarian cancers. https://www.claflin-computation.com/_files/ugd/81dd80_1ad94ed63c6a49c887177419bdb46567.docx?dn=Etha%20project%20report.docx

Project Report

bottom of page