Author

Shulan Tian

Mayo ClinicORCID 0000-0002-3348-7439Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alejandro FerreriD· 1 shared Benjamin B. YaniD· 1 shared Eric W. KleeiD· 1 shared Garrett JenkinsoniD· 1 shared Huihuang YaniD· 1 shared Janet E. OlsoniD· 1 shared Joel A. Morales‐RosadoiD· 1 shared Kevin L. WangiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alejandro FerrerORCID

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1 paper

Recent·Most cited

Unified somatic calling and machine learning-based classification enhance the discovery of clonal hematopoiesis of indeterminate potential

Shulan Tian, Garrett Jenkinson, Alejandro Ferrer, Huihuang Yan, Joel A. Morales‐Rosado, Kevin L. Wang, Terra L. Lasho, Benjamin B. Yan, Saurabh Baheti, Janet E. Olson, Linda Banovic Baughn, Wei Yung Ding, Susan L. Slager, Mrinal M. Patnaik, Konstantinos N. Lazaridis, Eric W. Klee

UNISOM improves CHIP detection from low-coverage sequencing data by combining variant calling with machine learning classification, identifying low-VAF mutations with high sensitivity.

bioRxiv · Apr 22, 2024 · PreprintBioinformatics