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Computational Drug Repurposing For Breast Cancer Subtypes, Roopesh Dhara
Computational Drug Repurposing For Breast Cancer Subtypes, Roopesh Dhara
Electronic Theses and Dissertations
Breast cancer makes up 25 percent of all new cancer diagnoses globally according to the American Cancer Society(ACS). Developing a highly effective drug can be a time consuming and an expensive ordeal. Drug repurposing is a tremendous approach which takes away some disadvantages of traditional drug development procedures making it both time and cost effective. In this thesis, we are interested in finding good drugs for each of the ten subtypes of breast cancer. Repurposing incorporates identifying unique indications of pre-approved drugs and utilizing them to observe the anti-correlation between the perturbation data and disease data. If anti-correlation, whether it …
Fixed Cluster Based Cluster Head Selection Algorithm In Vehicular Adhoc Network, Muhammad Anwar Shahid
Fixed Cluster Based Cluster Head Selection Algorithm In Vehicular Adhoc Network, Muhammad Anwar Shahid
Electronic Theses and Dissertations
The emergence of Vehicular Adhoc Networks (VANETs) is expected support variety of applications for driver assistance, traffic efficiency and road safety. For proper transmission of messages in VANET, one of the proposed solutions is dividing the network into clusters and then selecting a cluster head (CH) in each cluster. This can decrease the communication overhead between road side units (RSUs) and other components of VANETs, because instead of every node communicating with RSU, only CH communicates with RSU and relays relevant messages. In clustering, an important step is the selection of CH. In this thesis, we implemented vehicle to vehicle …