Liat Shenhav
Liat Shenhav
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FEAST: fast expectation-maximization for microbial source tracking
L Shenhav, M Thompson, TA Joseph, L Briscoe, O Furman, D Bogumil, ...
Nature Methods 16 (7), 627-632, 2019
Efficacy of corneal collagen cross-linking for the treatment of keratoconus: a systematic review and meta-analysis
Z Meiri, S Keren, A Rosenblatt, T Sarig, L Shenhav, D Varssano
Cornea 35 (3), 417-428, 2016
Genome-wide methylation data mirror ancestry information
E Rahmani, L Shenhav, R Schweiger, P Yousefi, K Huen, B Eskenazi, ...
Epigenetics & chromatin 10 (1), 1-12, 2017
BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference
E Rahmani, R Schweiger, L Shenhav, T Wingert, I Hofer, E Gabel, E Eskin, ...
Genome biology 19 (1), 1-18, 2018
GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data
E Rahmani, R Yedidim, L Shenhav, R Schweiger, O Weissbrod, N Zaitlen, ...
Bioinformatics 33 (12), 1870-1872, 2017
Stochasticity constrained by deterministic effects of diet and age drive rumen microbiome assembly dynamics
O Furman, L Shenhav, G Sasson, F Kokou, H Honig, S Jacoby, T Hertz, ...
Nature communications 11 (1), 1-13, 2020
Modeling the temporal dynamics of the gut microbial community in adults and infants
L Shenhav, O Furman, L Briscoe, M Thompson, JD Silverman, I Mizrahi, ...
PLoS computational biology 15 (6), e1006960, 2019
Context-aware dimensionality reduction deconvolutes gut microbial community dynamics
C Martino, L Shenhav, CA Marotz, G Armstrong, D McDonald, ...
Nature biotechnology 39 (2), 165-168, 2021
Resource conservation manifests in the genetic code
L Shenhav, D Zeevi
Science 370 (6517), 683-687, 2020
Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders
W Pan, J Flint, L Shenhav, T Liu, M Liu, B Hu, T Zhu
PloS one 14 (6), e0218172, 2019
Using stochastic approximation techniques to efficiently construct confidence intervals for heritability
R Schweiger, E Fisher, E Rahmani, L Shenhav, S Rosset, E Halperin
Journal of Computational Biology 25 (7), 794-808, 2018
Statistical considerations in the design and analysis of longitudinal microbiome studies
JD Silverman, L Shenhav, E Halperin, S Mukherjee, LA David
bioRxiv, 448332, 2018
Compositional Lotka-Volterra describes microbial dynamics in the simplex
TA Joseph, L Shenhav, JB Xavier, E Halperin, I Pe’er
PLoS computational biology 16 (5), e1007917, 2020
Quantifying replicability in systematic reviews: the r-value
L Shenhav, R Heller, Y Benjamini
arXiv preprint arXiv:1502.00088, 2015
A Bayesian framework for estimating cell type composition from DNA methylation without the need for methylation reference
E Rahmani, R Schweiger, L Shenhav, E Eskin, E Halperin
International Conference on Research in Computational Molecular Biology, 207-223, 2017
Quantifying replicability and consistency in systematic reviews
I Jaljuli, Y Benjamini, L Shenhav, O Panagiotou, R Heller
arXiv preprint arXiv:1907.06856, 2019
Naturalization of the microbiota developmental trajectory of Cesarean-born neonates after vaginal seeding
SJ Song, J Wang, C Martino, L Jiang, WK Thompson, L Shenhav, ...
Med, 2021
The Discriminatory Power of Vocal Features in Detecting Mental Illnesses Under Complex Context
W Pan, L Shenhav, A Afshan, A Alwan, J Flint, T Liu, B Hu, T Zhu
Spatiotemporal Modeling of Microbial Communities
L Shenhav
PQDT-Global, 2020
Patterns of purifying selection in marine microbes reveal optimization in the genetic code
L Shenhav, D Zeevi
bioRxiv, 790345, 2019
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