activity
20112024
most citedMapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

690 citations · 709 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.QM2024

Recovering Time-Varying Networks From Single-Cell Data

Euxhen Hasanaj, Barnabás Póczos, Ziv Bar-Joseph

Gene regulation is a dynamic process that underlies all aspects of human development, disease response, and other key biological processes. The reconstruction of temporal gene regu…

cs.LG2020★ 2 cited

Causal inference using deep neural networks

Ye Yuan, Xueying Ding, Ziv Bar-Joseph

Causal inference from observation data is a core problem in many scientific fields. Here we present a general supervised deep learning framework that infers causal interactions by…

cs.DC2020★ 8 cited

Genome-Wide Epigenetic Modifications as a Shared Memory Consensus Problem

Sabrina Rashid, Gadi Taubenfeld, Ziv Bar-Joseph

A distributed computing system is a collection of processors that communicate either by reading and writing from a shared memory or by sending messages over some communication netw…

q-bio.OT2019★ 690 cited

Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

Michael P Snyder, Shin Lin, Amanda Posgai +22

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…

q-bio.QM2016★ 5 cited

Distributed Gradient Descent in Bacterial Food Search

Shashank Singh, Sabrina Rashid, Zhicheng Long +4

Communication and coordination play a major role in the ability of bacterial cells to adapt to ever changing environments and conditions. Recent work has shown that such coordinati…

cs.DS2012★ 4 cited

Beeping a Maximal Independent Set

Yehuda Afek, Noga Alon, Ziv Bar-Joseph +3

We consider the problem of computing a maximal independent set (MIS) in an extremely harsh broadcast model that relies only on carrier sensing. The model consists of an anonymous b…

cs.DC2011

MIS on the fly

Yehuda Afek, Noga Alon, Ziv Bar-Joseph

Humans are very good at optimizing solutions for specific problems. Biological processes, on the other hand, have evolved to handle multiple constrained distributed environments an…