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.

Bibliografiske detaljer
Main Authors: Galib, Asadullah Al, Rahman, Mohammad Mohaimanur
Andre forfattere: Ali, Md. Haider
Format: Thesis
Sprog:English
Udgivet: 2017
Fag:
Gene regulatory network
Entropy reduction
Online adgang:http://hdl.handle.net/10361/8215

Internet

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

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