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 (RECOMB, 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 (J. Comput. Biol., 2018)

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)

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)

Spatiotemporal Modeling of Microbial Communities. - Liat Shenhav (2020)

DVT-Net: A Multimodal Deep Vascular Topology Network for Disease Prediction. - Ye Tian; Geoffrey Wu; Srilaxmi Bearelly; Andrew Laine; Kaveri A. Thakoor; Liat Shenhav (ISBI, 2023)

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; et al. (npj Digit. Medicine, 2024)