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Frontiers in Immunology|December 25, 2023
Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognosesYaping Guo, Siyu Li, Chentan Li, et al.
Briefings in Bioinformatics|July 30, 2025
HybridKla: a hybrid deep learning framework for lactylation site predictionWanshan Ning, Feibo Qin, Ziwei Zhou, et al.
Computational and Structural Biotechnology Journal|July 8, 2024
CRCDB: A comprehensive database for integrating and analyzing multi-omics data of early-onset and late-onset colorectal cancerDanyi Zou, Wanshan Ning, Luming Xu, et al.
Genomics, Proteomics & Bioinformatics|August 31, 2020
HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site PredictionWanshan Ning, Haodong Xu, Peiran Jiang, et al.
Scientific Reports|April 16, 2025
Predicting cerebral infarction and transient ischemic attack in healthy individuals and those with dysmetabolism: a machine learning approach combined with routine blood testsYunyun Yang, Lindan Huang, Ying Gu, et al.
Scientific Reports|July 30, 2025
Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseasesWanshan Ning, Zhicheng Wang, Ying Gu, et al.
Briefings in Bioinformatics|April 6, 2020
GPS-Palm: a deep learning-based graphic presentation system for the prediction of S-palmitoylation sites in proteinsWanshan Ning, Peiran Jiang, Yaping Guo, et al.
Computational and Structural Biotechnology Journal|September 2, 2021
FSL-Kla: A few-shot learning-based multi-feature hybrid system for lactylation site predictionPeiran Jiang, Wanshan Ning, Yunshu Shi, et al.
Plos One|December 26, 2025
Single-cell alternative polyadenylation analysis reveals mechanistic insights of COVID-19-associated neurological and psychiatric effectsQun Chen, Ying Gu, Shuai Liu, et al.
Cardiovascular Diabetology|September 28, 2024
Construction of machine learning diagnostic models for cardiovascular pan-disease based on blood routine and biochemical detection dataZhicheng Wang, Ying Gu, Lindan Huang, et al.
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