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.

Bibliografische gegevens
Hoofdauteurs: Galib, Asadullah Al, Rahman, Mohammad Mohaimanur
Andere auteurs: Ali, Md. Haider
Formaat: Thesis
Taal:English
Gepubliceerd in: 2017
Onderwerpen:
Gene regulatory network
Entropy reduction
Online toegang:http://hdl.handle.net/10361/8215

Internet

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

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