Author

Kefu Liu

Central South UniversityORCID 0000-0003-1168-8712Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Assay:DNA methylation· 2 Assay:proteomics· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Ai‐Min BaoiD· 1 shared Bin YaniD· 1 shared Changzheng YuaniD· 1 shared Chao CheniD· 1 shared Chao CheniD· 1 shared Chao MaiD· 1 shared Chunling ZhangiD· 1 shared Chunyu LiuiD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Ai‐Min BaoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

NeuroscienceMolecular PsychiatryPeer-reviewedSep 15, 2025

The China Brain Multi-omics Atlas Project (CBMAP)

Dan Zhou, Yuan Zhou, Zeyu Sun…·Jing Zhang

The China Brain Multi-omics Atlas Project (CBMAP) creates a comprehensive molecular reference map of over 1,000 human brains to address underrepresentation in East Asian populations and advance research on aging and neuropsychiatric disorders.

5 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 5, 2025

Integrated Multi-Omics Analysis for Molecular Subtyping in NSCLC: A Cohort Study

Bin Yan, Zhangyu Wang, Yun Peng…·Shixiang Wang

This study integrates multi-omics data from NSCLC cohorts to identify molecular subtypes, revealing immune-activated and immunosuppressive subtypes with distinct prognostic implications.

DOI 10.1101/2025.09.05.674586

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsGenomics Proteomics & BioinformaticsPeer-reviewedAug 1, 2025

Precision and Accuracy in Quantitative Measurement of Gene Expression from Single-Cell/Nuclei RNA Sequencing Data

Rujia Dai, Ming Zhang, Tianyao Chu…·Chunyu Liu

This study evaluates precision and accuracy in sc/snRNA-seq data, identifies factors affecting reproducibility, and introduces a tool to assess data quality and differential expression reliability.

9 citations

humanmouse

𝕏 PostBluesky