Author

Litian Liang

BGI Group (China)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Carl KingsfordiD· 1 shared Dan Li JiangiD· 1 shared Dirong Peng· 1 shared Hong-Sheng Lai· 1 shared Jiayi LiiD· 1 shared Jishuo Jin· 1 shared Lijian ZhaoiD· 1 shared Meifang TangiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Carl KingsfordORCID

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2 papers

Recent·Most cited

ARCADE: Controllable Codon Design from Foundation Models via Activation Engineering

Jiayi Li, Hong-Sheng Lai, Litian Liang, Shiyi Du, Shijie Tang, Carl Kingsford

ARCADE enables flexible, controllable codon design using activation engineering from genomic language models to steer biological metrics like Codon Adaptation Index and GC content.

bioRxiv · Aug 19, 2025 · PreprintBioinformatics

Genetic Transformer: An Innovative Large Language Model Driven Approach for Rapid and Accurate Identification of Causative Variants in Rare Genetic Diseases

Litian Liang, Yulan Chen, Taifu Wang, Dan Li Jiang, Jishuo Jin, Yanmeng Pang, Na Qin, Qiang Liu, Xiaosen Jiang, Wentao Dai, Meifang Tang, Yutao Du, Dirong Peng, Xin Jin, Lijian Zhao

This paper introduces Genetic Transformer (GeneT), an LLM-driven method that significantly reduces candidate variant numbers and improves recall in rare disease diagnosis.

medRxiv · Jul 18, 2024 · PreprintGenetic & Genomic Medicine