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Bar-Joseph, Ziv - Center for Automatic Learning and Discovery, School of Computer Science, Carnegie Mellon University
A New Approach to Analyzing Gene Expression Time Series Data Ziv Bar-Joseph Georg Gerber David K. Gifford Tommi S. Jaakkola
K-ary Clustering with Optimal Leaf Ordering for Gene Expression Data
Early-Delivery Dynamic Atomic Broadcast Ziv Bar-Joseph Idit Keidar
Supplementary Methods for: Combining Static and Time Series Data to Determine the Quality of
Supplementary Results For: Combining Static and Time Series Data to Determine the Quality of
A Mixture of Experts Approach for Protein-Protein Interaction , Judith Klein-Seetharaman1,2
Active Learning for Sampling in Time-Series Experiments With Application to Gene Expression Analysis
Continuous Representations of Time Series Gene Expression Ziv Bar-Joseph Georg Gerber David K. Gifford
A Tight Lower Bound for Randomized Synchronous Consensus Ziv BarJoseph \Lambda Michael BenOr y
Early-Delivery Dynamic Atomic Broadcast (Extended Abstract)
-ary Clustering with Optimal Leaf Ordering for Gene Expression Data
