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.

Bibliografiska uppgifter
Huvudupphovsmän: Galib, Asadullah Al, Rahman, Mohammad Mohaimanur
Övriga upphovsmän: Ali, Md. Haider
Materialtyp: Lärdomsprov
Språk:English
Publicerad: 2017
Ämnen:
Gene regulatory network
Entropy reduction
Länkar:http://hdl.handle.net/10361/8215

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