dc.contributor.author |
Aunjum, Md. Tanvir |
|
dc.contributor.author |
Hasan, Md.Nazmul |
|
dc.contributor.author |
Rahman, Md. Jahidur |
|
dc.date.accessioned |
2020-01-27T05:37:12Z |
|
dc.date.available |
2020-01-27T05:37:12Z |
|
dc.date.issued |
2018-09-18 |
|
dc.identifier.uri |
http://dspace.ewubd.edu:8080/xmlui/handle/123456789/3185 |
|
dc.description |
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. |
en_US |
dc.description.abstract |
Design and implementation of automatic gene regulatory network are essential to construct
and analyze the complex biological system. The recent study shows that Darwinian
evolution can gradually develop higher topological robustness. In these consequences, this
thesis presents an integrated scheme to simulate gene expressions dataset for identifyin g
network topologies to find the robustness based on an evolutionary approach and artificial
neural network. The final outcome is the most robust topology from a gene regulation
dataset. The proposed method was verified using randomly sampled parameter spaces and
threshold are generated by the network itself. Here, final result shed lights on the
relationship among genes and corresponding transcription factors. Transcription factors are
combined to specify the on-and-off states of genes. This binding form a regulatory network
and constituting the wire diagram for a cell. The proposed network shows the whole
combinatorial and co-association of transcription factors, co-relation and the robustness of
human genes. Therefore, this research will play a crucial role in interpreting personal
genome sequences and understanding basic principles of human health evolution in near
future. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
East West University |
en_US |
dc.relation.ispartofseries |
;CSE00165 |
|
dc.subject |
Robust Gene Network Topology, Algorithm and Artificial Neural Network |
en_US |
dc.title |
Robust Gene Network Topology Construction Based on the Evolutionary Algorithm and Artificial Neural Network |
en_US |
dc.type |
Thesis |
en_US |