Author

Michael Hoichman

Weizmann Institute of Science

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:Hi-C· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Amos TanayiD· 2 shared Aviezer LifshitziD· 2 shared Yael Baran· 2 shared Yaniv LublingiD· 2 shared Akhiad Bercovich· 1 shared Amir GiladiiD· 1 shared Arnau Sebé-PedrósiD· 1 shared Elad ChomskyiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Amos TanayORCID

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Author profile →

2 papers

Recent·Most cited

MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

Yael Baran, Akhiad Bercovich, Arnau Sebé-Pedrós, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz, Amos Tanay

MetaCell partitions scRNA-seq data into homogeneous metacells to address sparsity, enabling clustering and gene expression analysis without enforcing global structure.

Genome biology · Oct 11, 2019Peer-reviewedBioinformatics

SHAMAN: bin-free randomization, normalization and screening of Hi-C matrices

Netta Mendelson Cohen, Pedro Olivares‐Chauvet, Yaniv Lubling, Yael Baran, Aviezer Lifshitz, Michael Hoichman, Amos Tanay

SHAMAN provides a method for analyzing Hi-C data without predefined resolution, minimizing biases by randomizing contact matrices and assessing enrichment.

bioRxiv · Sep 12, 2017 · PreprintBioinformatics