Author

Lexin Li

University of California, BerkeleyORCID 0000-0003-2962-1989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Approach:large language model· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 1 shared Anne Gabrielle Eva CollinsiD· 1 shared Chengchun ShiiD· 1 shared Hongtu Zhu BiD· 1 shared Jing‐Jing LiiD· 1 shared Qiao LiuiD· 1 shared Wanwen ZengiD· 1 shared Wing Hung WongiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alzheimer’s Disease Neuroimaging Initiative

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 3, 2024

Leveraging genomic large language models to enhance causal genotype-brain-clinical pathways in Alzheimer's disease

Qiao Liu, Wanwen Zeng, Hongtu Zhu B…·Alzheimer’s Disease Neuroimaging Initiative

This study introduces epiBrainLLM, a framework using genomic LLMs to improve causal analysis of genotype-brain-clinical pathways in Alzheimer's disease.

3 citations

humanwhole-genome sequencing

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NeuroscienceJournal of Mathematical PsychologyPeer-reviewedFeb 27, 2024

Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making

Jing‐Jing Li, Chengchun Shi, Lexin Li, Anne Gabrielle Eva Collins

This paper introduces a method to dynamically estimate noise levels in decision-making tasks, improving model fit and parameter estimation compared to static noise assumptions.

21 citationstop 2%

humanmouse

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