Inference of gene regulatory metwork (GRN) rrom gene expression data using k-means clustering and entropy based selection of interactions

Inference of gene regulatory metwork (GRN) rrom gene expression data using k-means clustering and entropy based selection of interactions

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.

Библиографические подробности
Главные авторы: Galib, Asadullah Al, Rahman, Mohammad Mohaimanur
Другие авторы: Ali, Md. Haider
Формат: Диссертация
Язык:English
Опубликовано: 2017
Предметы:
Gene regulatory network
Entropy reduction
Online-ссылка:http://hdl.handle.net/10361/8215

Internet

http://hdl.handle.net/10361/8215

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