2026 · Teaching Statistics
Actionable visualization principles and guidance for a foundational university data science course
David C. Sterratt, Narjes Rohani, Kobi Gal
DOI →2026 · bioRxiv
Spatial transcriptomics implicates the thalamus and cortex in autism and schizophrenia
David M. Young, Ruchira Sharma, Narjes Rohani, Chimmi Dema, Lindsay Liang, Bernie Devlin, Devanand S. Manoli, Stephan J. Sanders
DOI →2026 · bioRxiv
Spatiotemporal analysis of autism gene enrichment implicates cortex, thalamus, and hypothalamus
Xuran Wang, Yue Li, David M. Young, Alicia Ljungdahl, Chimmi Dema, Narjes Rohani, Tomasz J. Nowakowski, Kathryn Roeder, Stephan J. Sanders
DOI →2026 · Genome Medicine · accepted
Modifying splicing in 5'UTRs to increase translation as a therapeutic approach for multiple rare haploinsufficient disorders
Eloise S. Beer Wells, Laura De Conti, Hyung Chul Kim, Narjes Rohani, Kartik Chundru, Laura M. Watts, Ruebena Dawes, Yuyang Chen, Alexandra C. Martin-Geary, Michael J. Griffiths, Sam Scott, Rosemary A. Bamford, Jonathan Mill, Caroline F. Wright, Marco Baralle, Stephan J. Sanders, Nicola Whiffin
Google Scholar →2026 · bioRxiv
Molecular dynamics of Brodmann Area 22 in development and autism
Varun Suresh, Emilie M. Wigdor, Yuhan Hao, Rachel Leonard, Joseph Asfouri, Michael Griffiths, Clements Evans, Guohua Yuan, Narjes Rohani, Jakob Weiss, Chimmi Dema, Tanzila Mukthar, Frederik H. Lassen, Nicole Schafer, Shan Dong, Duncan Palmer, Edward Chang, Stephan J. Sanders, Tomasz J. Nowakowski
DOI →2026 · Nature · accepted
Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq
Tuo Shi, Maria Korshunova, Seoyeon Kim, David DeTomaso, Xinhe Zheng, Lavanya Vishvanath, Thokozile Nyasulu, Nhan Huynh, Alexander Sun, Patrick C. Thompson, Yifan Zhang, Emilie M. Wigdor, Narjes Rohani, Salma Ali, Huixian Qiu, Michael Geralt, Ziyan Zhao, Sara Rabhi, Zizhen Yao, Cindy Tj van Velthoven, Joseph R. Nery, Rosa Gomez Castanon, Severin Dicks, Tiffany J. Chen, Joseph R. Ecker, Hongkui Zeng, Grace Xy Zheng, Stephan J. Sanders, Laksshman Sundaram, Xin Jin
DOI →2025 · Nature · accepted
A Retinoic Acid Autoregulatory Loop Governing Prefrontal-Motor Arealization
Lin Yang, Mikihito Shibata, Saejeong Park, Yuting Liu, Iva Salamon, Jia Liu, Suel-Kee Kim, Akemi Shibata, Ashley Deveau-French, Xoel Mato Blanco, Suxia Bai, Timothy Nottoli, Xiaojun Xing, Narjes Rohani, Stephan J. Sanders, Rothem Kovner, Kartik Pattabiraman, Nenad Sestan
DOI →2025 · bioRxiv
Modulating splicing in 5’untranslated regions to treat rare haploinsufficient disease
Eloise S. Beer Wells, Laura De Conti, Hyung Chul Kim, Narjes Rohani, Kartik Chundru, Laura M. Watts, Ruebena Dawes, Yuyang Chen, Alexandra C. Martin-Geary, Michael J. Griffiths, Sam Scott, Rosemary A. Bamford, Jonathan Mill, Caroline F. Wright, Marco Baralle, Stephan J. Sanders, Nicola Whiffin
DOI →2025 · bioRxiv
Disruption of cell-type-specific molecular programs of medium spiny neurons in autism
Guohua Yuan, Varun Suresh, Emilie M. Wigdor, Yuhan Hao, Rachel Leonard, Marilyn Steyert, Michael Griffiths, Clements Evans, Narjes Rohani, Jakob Weiss, Frederik H. Lassen, Nicole Schafer, Shan Dong, Duncan S. Palmer, Stephan J. Sanders, Tomasz J. Nowakowski
DOI →2025 · Research Square preprint
Tracing the evolutionary trajectory of CDK4/6 inhibitor resistance in oestrogen receptor positive breast cancer
Ioanna Mavrommati, Tabitha Branston, Fatemeh Ahmadi Moughari, Shefali Thakur, Frederick J. H. Whiting, Yu Zhang, Riccardo Ferro, Ekaterina Izmailova, Narjes Rohani, Harriet Kemp, Gareth Muirhead, Dhrusti Patel, Lesly-Ann Martin, Andrew A. N. J. Tutt, Trevor A. Graham, Syed Haider, Rachael Natrajan
DOI →2024 · BMC Medical Education
Providing insights into health data science education through artificial intelligence
Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki
DOI →2024 · Journal of Educational Data Mining
ClickTree: A Tree-based Method for Predicting Math Students’ Performance Based on Clickstream Data
Narjes Rohani, Behnam Rohani, Areti Manataki
DOI →2024 · bioRxiv
Insights into Health Data Science Education: A Qualitative Content Analysis
Narjes Rohani, Michael Gallagher, Kobi Gal, Areti Manataki
DOI →2024 · Studies in Health Technology and Informatics
Self-reported learning strategies and preferences in health informatics
Narjes Rohani, Michael Gallagher, Kobi Gal, Kasia Banas, Areti Manataki
DOI →2024 · Studies in Health Technology and Informatics
Education Challenges Among Early Career Researchers in Medical Informatics
Narjes Rohani, Michael Gallagher, Kobi Gal, Areti Manataki
DOI →2024 · JMIR Medical Education
Identifying learning preferences and strategies in health data science courses: systematic review
Narjes Rohani, Stephen Sowa, Areti Manataki
DOI →2024 · bioRxiv
Providing Insights into Health Data Science Education through Artificial Intelligence
Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki
DOI →2023 · Educational Data Mining
Early Prediction of Student Performance in a Health Data Science MOOC
Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki
DOI →2022 · Process Mining Workshops
Discovering students’ learning strategies in a visual programming MOOC through process mining techniques
Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki
DOI →2021 · PeerJ
DisCoVering potential candidates of RNAi-based therapy for COVID-19 using computational methods
Narjes Rohani, Fatemeh Ahmadi Moughari, Changiz Eslahchi
DOI →2020 · Network Modeling Analysis in Health Informatics and Bioinformatics
ISCMF: Integrated similarity-constrained matrix factorization for drug-drug interaction prediction
Narjes Rohani, Changiz Eslahchi, Amir Katanforoush
Google Scholar →2020 · Frontiers in Genetics
Classifying breast cancer molecular subtypes by using deep clustering approach
Narjes Rohani, Changiz Eslahchi
Google Scholar →2019 · Scientific Reports
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Narjes Rohani, Changiz Eslahchi
Google Scholar →Background Information: Learning Inventories
Narjes Rohani, Stephen Sowa, Areti Manataki
Google Scholar →Education Challenges among Early Career Researchers in Medical Informatics and Perceived Value of Personalised Learning: A Qualitative Content Analysis
Narjes Rohani, Michael Gallagher, Kobi Gal, Areti Manataki
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