Author

Zhike Zi

Chinese Academy of SciencesORCID 0000-0002-7601-915XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Organism:human· 1

Frequent Co-Authors

Chris Tina HöferiD· 1 shared Christina N. CurtisiD· 1 shared Da ZhouiD· 1 shared Difan Deng· 1 shared Jihye KimiD· 1 shared Jinsheng XuiD· 1 shared Junying ZhangiD· 1 shared Kai LiiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperSystems Biology

Chris Tina HöferORCID

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3 papers

Recent·Most cited

COCOA: A Framework for Fine-scale Mapping Cell-type-specific Chromatin Compartmentalization Using Epigenomic Information

Kai Li, Ping Zhang, Jinsheng Xu, Zi Wen, Junying Zhang, Zhike Zi, Li Li

COCOA infers fine-scale chromatin compartment patterns from histone modifications, showing accurate results and cell-type-specific predictions.

Genomics Proteomics & Bioinformatics · Dec 1, 2024Peer-reviewedBioinformatics

Liebig's law of the minimum in the TGF-β/SMAD pathway

Yuchao Li, Difan Deng, Chris Tina Höfer, Jihye Kim, Won Do Heo, Quanbin Xu, Xuedong Liu, Zhike Zi

The paper shows that TGF-β signaling responses are determined by the receptor with the lowest abundance, following Liebig's law of the minimum, across cell types and single cells.

PLoS Computational Biology · May 16, 2024Peer-reviewedSystems Biology

Cell division history encodes directional information of fate transitions

Kun Wang, Liangzhen Hou, Zhaolian Lu, Xin Wang, Zhike Zi, Weiwei Zhai, Xionglei He, Christina N. Curtis, Da Zhou, Zheng Hu

The paper introduces PhyloVelo, a method that uses monotonically expressed genes to reconstruct cell fate transitions, outperforming existing approaches in embryo development and tumor evolution analysis.

bioRxiv · Oct 6, 2022 · PreprintGenomics