Harnessing the power of single-cell large language models with parameter-efficient fine-tuning using scPEFT
Year: 2025
Type: article
Language: en
Topic: Single-cell and spatial transcriptomics
Authors and affiliations:
raw_author_name: Fei He
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
raw_author_name: Ruixin Fei
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
raw_author_name: Jordan E. Krull
raw_affiliation_strings: Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
raw_author_name: Yang Yu
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
raw_author_name: Xinyu Zhang
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
raw_author_name: Xianyu Wang
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
raw_author_name: Hao Cheng
raw_affiliation_strings: Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
raw_author_name: Mingyue Gao
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
raw_author_name: Li Su
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
raw_author_name: Yibo Chen
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
raw_author_name: Jinpu Li
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
raw_author_name: Baichuan Jin
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
raw_author_name: Yuzhou Chang
raw_affiliation_strings: Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
raw_author_name: Anjun Ma
raw_affiliation_strings: Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
raw_author_name: Qin Ma
raw_affiliation_strings: Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
raw_author_name: Dong Xu
raw_affiliation_strings: Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA