Lei Wei

Orcid: 0000-0002-1546-6458

Affiliations:
  • Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China
  • Tsinghua University, Department of Automation, MOE Key Lab of Bioinformatics, Beijing, China


According to our database1, Lei Wei authored at least 25 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Computational methods and data resources for predicting tumor neoantigens.
Briefings Bioinform., July, 2025

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?
CoRR, May, 2025

Benchmarking AI scientists in omics data-driven biological research.
CoRR, May, 2025

Quantifying Early-Stage Lung Adenocarcinoma Progression with a Radiomic Trajectory.
npj Digit. Medicine, 2025

Deconer: An Evaluation Toolkit for Reference-based Deconvolution Methods Using Gene Expression Data.
Genom. Proteom. Bioinform., 2025

uHAF: a unified hierarchical annotation framework for cell type standardization and harmonization.
Bioinform., 2025

GeST: Towards Building A Generative Pretrained Transformer for Learning Cellular Spatial Context.
Proceedings of the 20th Machine Learning in Computational Biology (MLCB), 2025

2024
Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data.
Briefings Bioinform., March, 2024

scDecouple: decoupling cellular response from infected proportion bias in scCRISPR-seq.
Briefings Bioinform., March, 2024

NeoHunter: Flexible software for systematically detecting neoantigens from sequencing data.
Quant. Biol., 2024

Current opinions on large cellular models.
Quant. Biol., 2024

QueST: Querying Functional and Structural Niches on Spatial Transcriptomics Data via Contrastive Subgraph Embedding.
CoRR, 2024

scDiffusion: conditional generation of high-quality single-cell data using diffusion model.
Bioinform., 2024

Discovering and Overcoming the Bias in Neoantigen Identification by Unified Machine Learning Models.
Proceedings of the Research in Computational Molecular Biology, 2024

scMulan: A Multitask Generative Pre-Trained Language Model for Single-Cell Analysis.
Proceedings of the Research in Computational Molecular Biology, 2024

2023
Machine Learning in Lung Cancer Radiomics.
Mach. Intell. Res., December, 2023

Building digital life systems for future biology and medicine.
Quant. Biol., September, 2023

Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomics.
Briefings Bioinform., September, 2023

2022
ARIC: accurate and robust inference of cell type proportions from bulk gene expression or DNA methylation data.
Briefings Bioinform., 2022

Evaluating methylation of human ribosomal DNA at each CpG site reveals its utility for cancer detection using cell-free DNA.
Briefings Bioinform., 2022

2021
cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data.
Bioinform., November, 2021

Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction.
Genom. Proteom. Bioinform., 2021

CellTracker: an automated toolbox for single-cell segmentation and tracking of time-lapse microscopy images.
Bioinform., 2021

DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads.
Briefings Bioinform., 2021

2019
Regulation by competition: a hidden layer of gene regulatory network.
Quant. Biol., 2019


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