Author

Shengjie Yang

Endeavor HealthORCID 0000-0001-6398-317XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Shengjie Yang1 paper · University of Pittsburgh

Biology Disciplines

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Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Lin WeiiD· 2 shared Yitan ZhuiD· 2 shared Yuan JiiD· 2 shared Bing SongiD· 1 shared Chaoying Liang· 1 shared Chengsong ZhuiD· 1 shared David E. GerberiD· 1 shared David HsiehcheniD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Lin WeiORCID

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintJun 27, 2024

Cmai: Predicting Antigen-Antibody Interactions from Massive Sequencing Data

Bing Song, Kaiwen Wang, Saiyang Na…·Tao Wang

Cmai predicts antigen-antibody interactions from high-throughput BCR sequencing data, revealing immune responses to tumor antigens and ICI treatment outcomes.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 9, 2019

Tumor Evolution Decoder (TED): Unveiling Tumor Evolution Based on Mutation Profiles of Subclones or Single Cells

Yitan Zhu, Subhajit Sengupta, Lin Wei…·Yuan Ji

The paper introduces TED, an algorithm for constructing tumor phylogenetic trees from mutation profiles, and applies it to cancer datasets to identify early mutation events in tumor evolution.

1 citation

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedDec 19, 2017

TCGA-Assembler 2: Software Pipeline for Retrieval and Processing of TCGA/CPTAC Data

Lin Wei, Zhilin Jin, Shengjie Yang…·Yuan Ji

TCGA-Assembler 2 retrieves and integrates TCGA and CPTAC data, improving functionality for researchers.

220 citationstop 1%

whole-genome sequencingproteomics

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