Kevin Matlock

According to our database, Kevin Matlock authored at least 9 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer.

Narmada Naik, Ayush Khandelwal, Mohit Joshi, Madhusudan Atre, Hollis Wright, Kavya Kannan, Scott Hill, Giridhar Mamidipudi, Ganapati Srinivasa, Carlo Bifulco, Brian Piening, Kevin Matlock

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2019

Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features.

Kevin Matlock, Raziur Rahman, Souparno Ghosh, Ranadip Pal

Bioinform., 2019

Evaluating the consistency of large-scale pharmacogenomic studies.

Raziur Rahman, Saugato Rahman Dhruba, Kevin Matlock, Carlos De Niz, Souparno Ghosh, Ranadip Pal

Briefings Bioinform., 2019

2018

Investigation of model stacking for drug sensitivity prediction.

Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal

BMC Bioinform., 2018

Application of transfer learning for cancer drug sensitivity prediction.

Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal

BMC Bioinform., 2018

Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases.

Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

An investigation of proteomic data for application in precision medicine.

Kevin Matlock, Saugato Rahman Dhruba, Moazzam Nazir, Ranadip Pal

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

Combination therapy design for maximizing sensitivity and minimizing toxicity.

Kevin Matlock, Noah Berlow, Charles Keller, Ranadip Pal

BMC Bioinform., 2017

2016

Automated segmentation of MS lesions in FLAIR, DIR and T2-w MR images via an information theoretic approach.

Jason E. Hill, Kevin Matlock, Ranadip Pal, Brian Nutter, Sunanda Mitra

Proceedings of the Medical Imaging 2016: Image Processing, 2016