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Methods in Molecular Biology (Clifton, N.J.)|September 10, 2010
Computational methods for analyzing dynamic regulatory networksAnthony Gitter, Yong Lu, Ziv Bar-JosephBioinformatics (Oxford, England)|July 15, 2025
Recovering time-varying networks from single-cell dataEuxhen Hasanaj, Barnabás Póczos, Ziv Bar-JosephBioinformatics (Oxford, England)|July 29, 2006
Identifying cycling genes by combining sequence homology and expression dataYong Lu, Roni Rosenfeld, Ziv Bar-JosephCell Systems|July 26, 2016
Tradeoffs between Dense and Replicate Sampling Strategies for High-Throughput Time Series ExperimentsEmre Sefer, Michael Kleyman, Ziv Bar-JosephPlos Computational Biology|August 24, 2012
A network-based approach for predicting missing pathway interactionsSaket Navlakha, Anthony Gitter, Ziv Bar-JosephNature Reviews. Genetics|July 19, 2012
Studying and modelling dynamic biological processes using time-series gene expression dataZiv Bar-Joseph, Anthony Gitter, Itamar SimonNucleic Acids Research|February 10, 2023
Using single cell atlas data to reconstruct regulatory networksQi Song, Matthew Ruffalo, Ziv Bar-JosephNature Methods|July 10, 2023
SCS: cell segmentation for high-resolution spatial transcriptomicsHao Chen, Dongshunyi Li, Ziv Bar-JosephBioinformatics (Oxford, England)|April 6, 2017
TASIC: determining branching models from time series single cell dataSabrina Rashid, Darrell N Kotton, Ziv Bar-JosephProteins|February 2, 2006
Evaluation of different biological data and computational classification methods for use in protein interaction predictionYanjun Qi, Ziv Bar-Joseph, Judith Klein-SeetharamanPageof 385