Author

Lanying Wei

ORCID 0000-0002-4281-8017Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Mengchen PuiD· 2 shared Yingsheng ZhangiD· 2 shared Yucui Xin· 2 shared Gongxin Peng· 1 shared Jielong Zhou· 1 shared Kaiyang Cheng· 1 shared Qihong Tang· 1 shared Sutong Jin· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Mengchen PuORCID

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2 papers

Recent·Most cited

Patient-Specific Analysis of Co-expression Networks for Predicting Clinical Outcomes in Breast Cancer

Lanying Wei, Yucui Xin, Mengchen Pu, Yingsheng Zhang

The paper introduces Cosinet, a tool for single-sample differential co-expression analysis in breast cancer, showing it can predict clinical outcomes like survival and recurrence.

bioRxiv · Aug 23, 2023 · PreprintBioinformatics

Using graph-based model to identify cell specific synthetic lethal effects

Mengchen Pu, Kaiyang Cheng, Xiaorong Li, Yucui Xin, Lanying Wei, Sutong Jin, Weisheng Zheng, Gongxin Peng, Qihong Tang, Jielong Zhou, Yingsheng Zhang

This paper introduces a deep learning model using graph-based representation to predict cell-specific synthetic lethal gene pairs, enhancing cancer precision medicine.

Computational and Structural Biotechnology Journal · Jan 1, 2023Peer-reviewedBioinformatics