Author

Zihan Cui

Florida State UniversityORCID 0000-0002-3148-7865Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Jinfeng ZhangiD· 2 shared Xing QiuiD· 2 shared Jun ZhaoiD· 1 shared Kaixian YuiD· 1 shared Lin SuiD· 1 shared Qi ZhangiD· 1 shared Ruixin CheniD· 1 shared Sheng Ju· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Jinfeng ZhangORCID

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3 papers

Recent·Most cited

Detection of Multiple Types of Cancer Driver Mutations Us-ing Targeted RNA Sequencing in NSCLC

Sheng Ju, Zihan Cui, Yuayuan Hong, Xiaoqing Wang, Weina Mu, Zhuolin Xie, Zeng XueXia, Lin Su, Qi Zhang, Xiaofeng Song, Songxia You, Ruixin Chen, Weizhi Chen, Xuchun, Jun Zhao

This paper develops an RNA-based panel to detect multiple cancer driver mutations in NSCLC, showing high specificity and sensitivity for SNVs, fusions, and expression, with improved detection limits compared to DNA-seq.

bioRxiv · Aug 25, 2021 · PreprintMolecular Biology

Super-delta2: An Enhanced Differential Expression Analysis Procedure for Multi-Group Comparisons of RNA-seq Data

Zihan Cui, Yuhang Liu, Jinfeng Zhang, Xing Qiu

Super-delta2 is a differential expression analysis method for RNA-seq data that controls type I error and achieves high statistical power in multi-group comparisons.

Bioinformatics · Mar 4, 2021Peer-reviewedBioinformatics

GRASP: a Bayesian network structure learning method using adaptive sequential Monte Carlo

Kaixian Yu, Zihan Cui, Xing Qiu, Jinfeng Zhang

GRASP is a Bayesian network structure learning method that uses adaptive sequential Monte Carlo to improve network discovery from genomic data.

bioRxiv · Sep 12, 2019 · PreprintBioinformatics