The Mycobacterium tuberculosis regulatory network and hypoxia. - James E. Galagan; Kyle J. Minch; Matthew Peterson; Anna Lyubetskaya; Elham Azizi; Linsday Sweet; Antonio Gomes 002; Tige R. Rustad; Gregory Dolganov; Irina Glotova; Thomas Abeel; Chris Mahwinney; et al. (Nat., 2013)

Learning Modular Structures from Network Data and Node Variables. - Elham Azizi; Edoardo M. Airoldi; James E. Galagan (ICML, 2014)

Modeling gene regulatory networks through data integration - Elham Azizi (2014)

Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data. - Sandhya Prabhakaran; Elham Azizi; Ambrose J. Carr; Dana Pe'er (ICML, 2016)

A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks. - Cassandra Burdziak; Elham Azizi; Sandhya Prabhakaran; Dana Pe'er (CoRR, 2019)

Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018. - Abdoulaye Baniré Diallo; Engelbert Mephu Nguifo; Wajdi Dhifli; Elham Azizi; Sandhya Prabhakaran; Wesley Tansey (J. Comput. Biol., 2019)

An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods. - Ramtin Babaeipour; Elham Azizi; Hassan Khotanlou (CoRR, 2020)

Data Analysis and Friendship Prediction for Twitch Streamers. - Elham Azizi; Loutfouz Zaman (GEM, 2022)

Automatic Bug Detection in Games using LSTM Networks. - Elham Azizi; Loutfouz Zaman (CoG, 2023)

Predicting subscription renewal using binary classification in World of Warcraft. - Md. Yousuf Hossain; Elham Azizi; Loutfouz Zaman (Entertain. Comput., 2023)

Deep Learning Pet Identification Using Face and Body. - Elham Azizi; Loutfouz Zaman (Inf., 2023)

Cellstitch: 3D cellular anisotropic image segmentation via optimal transport. - Yining Liu; Yinuo Jin; Elham Azizi; Andrew J. Blumberg (BMC Bioinform., 2023)

Stable Differentiable Causal Discovery. - Achille Nazaret; Justin Hong; Elham Azizi; David M. Blei (ICML, 2024)

DIISCO: A Bayesian Framework for Inferring Dynamic Intercellular Interactions from Time-Series Single-Cell Data. - Cameron Park; Shouvik Mani; Nicolas Beltran-Velez; Katie Maurer; Satyen Gohil; Shuqiang Li; Teddy Huang; David A. Knowles; Catherine J. Wu; Elham Azizi (RECOMB, 2024)

AstroBug: Automatic Game Bug Detection Using Deep Learning. - Elham Azizi; Loutfouz Zaman (IEEE Trans. Games, 2024)

Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations. - Zaikang Lin; Sei Chang; Aaron Zweig; Minseo Kang; Elham Azizi; David A. Knowles (CoRR, 2025)

Towards Identifiability of Interventional Stochastic Differential Equations. - Aaron Zweig; Zaikang Lin; Elham Azizi; David A. Knowles (CoRR, 2025)