Author

Yujie Jiang

The University of Texas MD Anderson Cancer CenterORCID 0000-0002-8149-8183Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yujie Jiang1 paper

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:machine learning (classical)· 2 Assay:whole-exome sequencing· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein structure prediction· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aaron Wu· 2 shared Hongtu Zhu BiD· 2 shared Jennifer Rui WangiD· 2 shared Kaixian YuiD· 2 shared Marek KimmeliD· 2 shared Matthew D. MontierthiD· 2 shared Maxime TarabichiiD· 2 shared Peter Van LooiD· 2 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Aaron Wu

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Subclonal mutation load predicts survival and response to immunotherapy in cancers with low to moderate tumor mutation burden

Yujie Jiang, Matthew D. Montierth, Kaixian Yu, Shuangxi Ji, Quang Tran, Xiaoqian Liu, Jessica C. Lal, Shuai Guo, Aaron Wu, Yaoyi Dai, Seung Jun Shin, Ruonan Li, Shaolong Cao, Yuxin Tang, Tom Lesluyes, , Wenyi Wang

The paper develops CliPP to estimate subclonal mutation load (sML) and shows it predicts survival and immunotherapy response in cancers with low to moderate TMB.

bioRxiv · Jul 3, 2024 · PreprintGenomics

Scalable subclonal reconstruction of cancer cells in DNA sequencing data using a penalized likelihood model

Yujie Jiang, Matthew D. Montierth, Yu Ding, Kaixian Yu, Quang Tran, Aaron Wu, Ruonan Li, Shuangxi Ji, Xiaoqian Liu, Seung Jun Shin, Shaolong Cao, Yuxin Tang, Tom Lesluyes, Marek Kimmel, Jennifer Rui Wang, , Wenyi Wang

CliPP reconstructs subclonal architecture in cancer DNA sequencing data efficiently and accurately, outperforming existing methods in speed while maintaining high concordance with consensus calls.

bioRxiv · Mar 31, 2021 · PreprintBioinformatics