Author

Di Yang

Chinese Academy of Medical Sciences & Peking Union Medical CollegeORCID 0000-0002-3521-8371Unclaimed ORCID profile · follow to get notified of new preprints

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Di Yang2 papers · Army Medical University

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Hao QiniD· 1 shared Lishuang GuiD· 1 shared Qian Li· 1 shared Xuantong GongiD· 1 shared Yong WangiD· 1 shared Yu HeiD· 1 shared

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2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperCancer Biology

Hao QinORCID

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1 paper

Recent·Most cited

Cancer BiologyeLifePeer-reviewedNov 25, 2024

Integrated Analysis of Single-Cell and Bulk RNA-Seq Data reveals that Ferroptosis-Related Genes Mediated the Tumor Microenvironment predicts Prognosis, and guides Drug Selection in Triple-Negative Breast Cancer

Xuantong Gong, Lishuang Gu, Di Yang…·Yong Wang

This study integrates single-cell and bulk RNA-seq data to identify ferroptosis-related genes in TNBC, developing a risk score model to predict prognosis and guide drug selection.

4 citations

humanscRNA-seq

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