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JUNE 19 2022.
This is the class content for INBRE-EPSCoR-RET.
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
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