Computer and Data Sciences Faculty, Staff, Student Scholarship

 

This collection holds the creative and scholarly works of the Department of Computer and Data Sciences' faculty, staff, and students. It includes scholarly content such as journal articles, book chapters, conference papers, etc.

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Submissions from 2023

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Data Collection and HPC Ingestion of Historical Satellite Images from IBM Pairs GeoScope, Olatunde D. Akanbi, Brian Gonzalez Hernandez, Erika I. Barcelos, Laura S. Bruckman, Jeffrey Yarus, and Roger H. French

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Crop Monitoring and Nutrient Prediction Using Satellite Imagery and Soil Data, Olatunde D. Akanbi, Brian Gonzalez Hernandez, Erika I. Barcelos, Arafath Nihar, Laura S. Bruckman, Yinghui Wu, Jeffrey Yarus, and Roger H. French

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Statistical Analysis and Degradation Pathway Modeling of Photovoltaic Minimodules with Varied Packaging Strategies, Sameera Nalin Venkat, Xuanji Yu, Jiqi Liu, Jakob Wegmueller, Jayvic Cristian Jimenez, Erika I. Barcelos, Hein Htet Aung, Roger H. French, and Laura S. Bruckman

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Prediction of Kinase-Substrate Associations Using The Functional Landscape of Kinases and Phosphorylation Sites, Serhan Yilmaz, Filipa Blasco Tavares Pereira Lopes, Mark R. Chance, and Mehmet Koyutürk

Submissions from 2022

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Consensus Embedding for Multiple Networks: Computation and Applications, Mengzhen Li and Mehmet Koyutürk

Submissions from 2021

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Robust Inference of Kinase Activity Using Functional Networks, Serhan Yılmaz, Daniela M. Schlatzer, Mark R. Chance, and Mehmet Koyutürk

Submissions from 2019

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CoPhosK: A Method for Comprehensive Kinase Substrate Annotation Using Co-Phosphorylation Analysis, Marzieh Ayati, Danica D. Wiredja, Daniela M. Schlatzer, Sean Maxwell, Ming Li, Mehmet Koyutürk, and Mark R. Chance

Submissions from 2015

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MOBAS: Identification of Disease-Associated Protein Subnetworks Using Modularity-Based Scoring, Marzieh Ayati, Sinan Erten, Mark R. Chance, and Mehmet Koyutürk

Submissions from 2012

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Gene, Pathway and Network Frameworks to Identify Epistatic Interactions of Single Nucleotide Polymorphisms Derived from GWAS Data, Yu Liu, Sean Maxwell, Tao Feng, Xiaofeng Zhu, Robert C. Elston, Mehmet Koyutürk, and Mark R. Chance