Publications

Recent publications I have contributed to.

2025

Strategies to include prior knowledge in omics analysis with deep neural networks

Kisan Thapa, Meric Kinali, Shichao Pei, Augustin Luna, and Ozgun Babur

CellPress Patterns 2025

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2024

A prognostic matrix gene expression signature defines functional glioblastoma phenotypes and niches

Monika Vishnoi, Zeynep Dereli, Zheng Yin, Elisabeth K Kong, Meric Kinali, Kisan Thapa, Ozgun Babur, Kyuson Yun, Nourhan Abdelfattah, Xubin Li, Behnaz Bozorgui, Mary C Farach-Carson, Robert C Rostomily, Anil Korkut

Research Square 2024

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2023

Protein Kinase Signaling Networks Driven by Oncogenic Gq/11 in Uveal Melanoma Identified by Phosphoproteomic and Bioinformatic Analyses

Michael D Onken, Petra Erdmann-Gilmore, Qiang Zhang, Kisan Thapa, Emily King, Kevin M Kaltenbronn, Sarah E Noda, Carol M Makepeace, Dennis Goldfarb, Özgün Babur, R Reid Townsend, Kendall J Blumer

Molecular & Cellular Proteomics 22 (11)

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A framework for considering prior information in network‐based approaches to omics data analysis

Julia Somers, Madeleine Fenner, Garth Kong, Dharani Thirumalaisamy, William M Yashar, Kisan Thapa, Meric Kinali, Olga Nikolova, Özgün Babur, Emek Demir

Proteomics 23 (21-22)

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Performance of ChatGPT on USMLE: Unlocking the potential of large language models for AI-assisted medical education

Prabin Sharma, Kisan Thapa, Dikshya Thapa, Prastab Dhakal, Mala Deep Upadhaya, Santosh Adhikari, Salik Ram Khanal

arXiv preprint arXiv:2307.00112

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Screening Autism Spectrum Disorder in childrens using Deep Learning Approach: Evaluating the classification model of YOLOv8 by comparing with other models

Subash Gautam, Prabin Sharma, Kisan Thapa, Mala Deep Upadhaya, Dikshya Thapa, Salik Ram Khanal, Vítor Manuel de Jesus Filipe

arXiv preprint arXiv:2306.14300

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