Liat Shenhav

According to our database, Liat Shenhav authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Personalized mood prediction from patterns of behavior collected with smartphones.

Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint

npj Digit. Medicine, 2024

2023

DVT-Net: A Multimodal Deep Vascular Topology Network for Disease Prediction.

Ye Tian, Geoffrey Wu, Srilaxmi Bearelly, Andrew Laine, Kaveri A. Thakoor, Liat Shenhav

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2020

Spatiotemporal Modeling of Microbial Communities.

Liat Shenhav

PhD thesis, 2020

Compositional Lotka-Volterra describes microbial dynamics in the simplex.

Tyler A. Joseph, Liat Shenhav, João B. Xavier, Eran Halperin, Itsik Pe'er

PLoS Comput. Biol., 2020

2019

Modeling the temporal dynamics of the gut microbial community in adults and infants.

Liat Shenhav, Ori Furman, Leah Briscoe, Mike Thompson, Justin D. Silverman, Itzhak Mizrahi, Eran Halperin

PLoS Comput. Biol., 2019

2017

GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data.

Elior Rahmani, Reut Yedidim, Liat Shenhav, Regev Schweiger, Omer Weissbrod, Noah Zaitlen, Eran Halperin

Bioinform., 2017

Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability.

Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin

Proceedings of the Research in Computational Molecular Biology, 2017

A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference.

Elior Rahmani, Regev Schweiger, Liat Shenhav, Eleazar Eskin, Eran Halperin

Proceedings of the Research in Computational Molecular Biology, 2017