Lun Li

BacLLM improves protein sequence representations for AMR analysis by integrating functional knowledge, enhancing resistance-gene identification and mechanism prediction.

InfluProto predicts cross-species transmission of influenza A virus using prototype learning, showing high accuracy in host classification and detecting reassortment effects.

This study identifies IgG4⁺ plasma cell enrichment and λ-chain-biased BCR remodeling in COPD, linking them to low-grade autoimmunity and chronic inflammation.

Influ-BERT improves IAV subtype identification by using domain-adaptive pretraining and achieves high F1-scores across underrepresented subtypes.

HaploThread constructs and visualizes haplotype networks from large sequence datasets using multi-threaded algorithms and a plugin system.

This study improves dog breed classification accuracy using a combination of CNN features, PCA, GWO, and SVM, achieving 95.24% and 99.34% accuracy for 120 and 76 breeds respectively.

RCoV19 integrates SARS-CoV-2 genome data, monitors variants, and provides risk pre-warning tools for COVID-19 response.

This paper develops a machine learning model using LightGBM to predict high-risk SARS-CoV-2 variants based on haplotype network features, achieving high accuracy in identifying variants of concern and interest.

McAN constructs haplotype networks using a minimum-cost arborescence approach, achieving speeds two orders of magnitude faster than existing methods.

The paper develops MNP DNA markers and MNP-Seq method for accurate and efficient genotyping, showing high polymorphism and accuracy in rice and cotton.