Author

Mark S. Kaiser

Iowa State University

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Bioinformatics· 1

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Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

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Iddo FriedbergiD· 1 shared Naihui ZhouiD· 1 shared

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2019-2019 · peak 1/yr

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Iddo FriedbergORCID

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1 paper

Recent·Most cited

Hierarchical Markov Random Field model captures spatial dependency in gene expression, demonstrating regulation via the 3D genome

Naihui Zhou, Iddo Friedberg, Mark S. Kaiser

The paper introduces a model to quantify spatial dependency in gene expression using HiC and RNA-seq data, finding strong intra- and inter-chromosomal spatial correlations.

bioRxiv · Dec 16, 2019 · PreprintBioinformatics