Haim Bar
Associate Professor/Statistics

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Scholarly Contributions

53 Scholarly Contributions

35
Journal Articles
13
Poster/Presentations
3
Patent and Intellectual Propertys
1
Conference Proceedings
1
Book
Laplace Approximated EM Microarray Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments
2010
Martin T Wells, Haim Bar, Elizabeth Schifano, James G Booth
Research Type: Journal Article

Attack correlation using marked information
2010
Haim Bar
Research Type: Patent and Intellectual Property

A Heap of Trouble? Accounting for Mismatch Bias in Retrospectively Collected Data on Smoking
2010
Haim Bar, Hua Wang, Dean Lillard
Research Type: Poster/Presentation

Competition and cooperation in neuronal processing.
2003
a Ambash, Haim Bar, W L Miranker
Research Type: Journal Article

Bayesian Approaches for Random Effects Models in Microarray Analysis
Elizabeth Schifano, Haim Bar
Research Type: Conference Proceedings

A Scalable Empirical Bayes Approach to Variable Selection in Generalized Linear Models
Haim Bar, Martin T Wells, James Booth
Research Type: Journal Article

Z' Does Not Need to be > 0.5
Adam Zweifach, Haim Bar
Research Type: Journal Article

Facilitating High Dimensional Transparent Classification Via Empirical Bayes Variable Selection
Haim Bar, Liu Kangyan, James Booth, Martin T Wells
Research Type: Journal Article

Differential variation and expression analysis
Elizabeth Schifano, Haim Bar
Research Type: Journal Article

Comparison of reprogramming methods by single cell analysis identifies premature viral inactivation as a barrier to successful reprogramming and reveals a common reprogramming trajectory between cell types
Elizabeth Schifano, Craig Nelson, Ion I Mandoiu, Frederick W. Kolling IV, Ofer Harel, Kun Chen, Haim Bar, Kyung-Min Chung
Research Type: Journal Article

Robust Variance Estimation
Haim Bar
Research Type: Journal Article

A Mixture Model to Detect Edges in Sparse Co-expression Graphs
SeoJin Bang, Haim Bar
Research Type: Journal Article

Empirical Bayes Methods in Variable Selection
Kangyan Liu, Haim Bar
Research Type: Journal Article