Publications

CS Education

Mining Code Submissions to Elucidate Disengagement in a Computer Science MOOC

Efrat Vinker, Amir Rubinstein

12th International Conference on Learning Analytics and Knowledge (LAK’22), March 21-25, 2022

In-Depth Feedback on Programming Assignments Using Pattern Recognition and Real-Time Hints.

Amir Rubinstein, Noam Parzanchevski, and Yossi Tamarov

In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '19).

Computational Thinking in Life Science Education

Amir Rubinstein and Benny ChorPLoS Comput Biol 10(11): e1003897. doi:10.1371/journal.pcbi.1003897 (2014)

Computer Science for Non-Technological Cyber Programs

Amir Rubinstein

Frontier in Education (FIE) Conference, Madrid (2014)

Work in progress: Courses dedicated to the development of logical and algorithmic thinking

Orna Miller and Amir Rubinstein

41st ASEE/IEEE Frontiers in Education Conference, 2011, Rapid City, SD

Interactions between the circadian clock and TGF-β signaling pathway in zebrafish

Hadas E. Sloin, Gennaro Ruggiero, Amir Rubinstein, Sima Smadja Storz, Nicholas S. Foulkes, Yoav Gothilf (2018) PLoS One, 13(6), e0199777

Simulation and visualization of multiple KEGG pathways using BioNSi

Yeheskel, Adva, Adam Reiter, Metsada Pasmanik-Chor, and Amir Rubinstein (2018)

F1000 Research 6

A Computational Approach to Study Gene Expression Networks. Meiosis

Amir Rubinstein and Yona Kassir (2017)

Meiosis: 325-334

BioNSi: A Discrete Biological Network Simulator Tool

Amir Rubinstein, Noga Bracha, Liat Rudner, Noga Zucker, Hadas E. Sloin and Benny Chor (2016) J. Proteome Res

The effective application of a discrete transition model to explore cell-cycle regulation in yeast

Amir Rubinstein, Ofir Hazan, Benny Chor, Ron Y. Pinter and Yona Kassir (2013)

BMC Research Notes 6:311

Faithful Modeling of Transient Expression and Its Application to Elucidating Negative Feedback Regulation

Amir Rubinstein, Vyacheslav Gurevich, Zohar Kasulin-Boneh, Lilach Pnueli, Yona Kassir, and Ron Y. Pinter

Proceedings of the National Academy of Sciences (PNAS), Vol. 104, No. 15, pp. 6241-6246 (2007)

Semantic intensity based decomposition of software systems

Moshkovich, Dany and Amir Rubinstein

U.S. Patent No. 8,769,515. 1 Jul. 2014