Guan Ning Lin

28 papers Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
EpiSight: an intelligent EEG automated analysis platform for clinical epilepsy diagnosis.
Frontiers Comput. Sci.
Wenhao Li, Liujinxiang Zhu, Yifan Yuan, Guan Ning Lin
2025 J jnl
MEMO-Stab2: Multi-View Sequence-Based Deep Learning Framework for Predicting Mutation-Induced Stability Changes in Transmembrane Proteins.
J. Chem. Inf. Model.
Yihang Bao, Zhe Liu, Hui Jin, Han Wang, Weidi Wang, Guan Ning Lin
2025 J jnl
Mutation-drug sensitivity data resource (MDSDR): a comprehensive resource for studying and addressing drug resistance.
Frontiers Comput. Sci.
Weihao Li, Zhe Liu, Yihang Bao, Shunying Yu, Huafang Li, Guan Ning Lin
2025 J jnl
Predicting the regulatory impacts of noncoding variants on gene expression through epigenomic integration across tissues and single-cell landscapes.
Nat. Comput. Sci.
Zhe Liu, Yihang Bao, An Gu, Weichen Song, Guan Ning Lin
2024 — conf
EpilepsyNet: A Self-Calibrating Deep Learning Network for Accurate and Robust Seizure Detection.
BIBM
Wenhao Li, Zhenyu Hou, Shi Chang, Zhenhong Ye, Yihang Bao, Jingtong Zhao, Guan Ning Lin
2024 J jnl
Large Language Models in Psychiatry: Current Applications, Limitations, and Future Scope.
Big Data Min. Anal.
Zhe Liu, Yihang Bao, Shuai Zeng, Ruiyi Qian, Miaohan Deng, An Gu, Jianye Li, Weidi Wang, Wenxiang Cai, Wenhao Li, Han Wang, Dong Xu, Guan Ning Lin
2024 — conf
MEMO-stab: Sequence-based Annotation of Mutation Effect on Transmembrane Protein Stability with Protein Language Model-Driven Machine Learning.
BIBM
Zhe Liu, Yihang Bao, Wenhao Li, Weihao Li, Weidi Wang, Guan Ning Lin
2024 — conf
PSGAnalyzer: The Intelligent Sleep Analysis Platform Empowering Sleep Disorder Diagnosis and Treatment.
BIBM
Wenhao Li, Yi Liu, Dongbin Lyu, Ruiyi Qian, Zhe Liu, Liujinxiang Zhu, Guan Ning Lin
2024 — conf
Predicting Psychosis Progression in Clinical High-Risk Individuals Using Peripheral Transcriptomic and Epigenomic Profiles: A Machine Learning Approach.
BIBM
Zhe Liu, Weidi Wang, Mingxia Zhai, An Gu, Shunying Yu, Guan Ning Lin
2023 J jnl
Emden: A novel method integrating graph and transformer representations for predicting the effect of mutations on clinical drug response.
Comput. Biol. Medicine
Zhe Liu, Yihang Bao, Weidi Wang, Liangwei Pan, Han Wang, Guan Ning Lin
2023 — conf
Probing Transmembrane Proteins Binding Domain via Multi-level Molecule Learning.
BIBM
Yihang Bao, Yuanzhao Guo, Wenjie Li, Guan Ning Lin, Zehua Sun, Han Wang
2023 — conf
Transformers-RNP: Predicting the mutation effect on the stability of Protein-RNA complex with deep learning-based model.
ICBBS
Jisheng Liang, Zhe Liu, Wenxiang Cai, Yihang Bao, Guan Ning Lin
2021 — conf
ASW-Net: A Deep Learning-based Tool for Cell Nucleus Segmentation of Fluorescence Microscopy.
ICBBS
Weihao Pan, Zhe Liu, Guan Ning Lin
2021 — conf
PPSNV: A Novel Predictor for Pathogenicity of Nonsynonymous SNV based on Ensemble Learning.
ICBBS
Xuyang Zhen, Guan Ning Lin
2020 J jnl
A Generative Adversarial Network Model for Disease Gene Prediction With RNA-seq Data.
IEEE Access
Xue Jiang, Jingjing Zhao, Wei Qian, Weichen Song, Guan Ning Lin
2019 J jnl
Expression alteration of microRNAs in Nucleus Accumbens is associated with chronic stress and antidepressant treatment in rats.
BMC Medical Informatics Decis. Mak.
Weichen Song, Yifeng Shen, Yanhua Zhang, Sufang Peng, Ran Zhang, Ailing Ning, Huafang Li, Xia Li, Guan Ning Lin, Shunying Yu
2019 — conf
Integrative Enrichment Analysis of Intra- and Inter- Tissues' Differentially Expressed Genes Based on Perceptron.
ICIC (2)
Xue Jiang, Weihao Pan, Miao Chen, Weidi Wang, Weichen Song, Guan Ning Lin
2019 — conf
Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of Huntington's Disease.
ICIC (1)
Xue Jiang, Miao Chen, Weidi Wang, Weichen Song, Guan Ning Lin
2019 J jnl
PsyMuKB: An Integrative
Genom. Proteom. Bioinform.
Guan Ning Lin, Sijia Guo, Xian Tan, Weidi Wang, Wei Qian, Weichen Song, Jingru Wang, Shunying Yu, Zhen Wang, Donghong Cui, Han Wang
2019 — conf
Varying Mutational Classes Illuminate Differential Genetic Patterns Between Schizophrenia and Bipolar Disorder.
BIBM
Weidi Wang, Yu Fang, Xue Jiang, Wu Huang, Zhen Wang, Guan Ning Lin
2018 — conf
Genome-Wide miRNA Expression Alterations in Nucleus Accumbens Provide Insights into Chronic Stress and Treatment in Depression.
BIBM
Weichen Song, Guan Ning Lin, Sufang Peng, Yanhua Zhang, Yifeng Shen, Huafang Li, Shunying Yu
2017 J jnl
When loss-of-function is loss of function: assessing mutational signatures and impact of loss-of-function genetic variants.
Bioinform.
Kymberleigh A. Pagel, Vikas Pejaver, Guan Ning Lin, Hyun-Jun Nam, Matthew E. Mort, David N. Cooper, Jonathan Sebat, Lilia M. Iakoucheva, Sean D. Mooney, Predrag Radivojac
2011 J jnl
Polytomy identification in microbial phylogenetic reconstruction.
BMC Syst. Biol.
Guan Ning Lin, Chao Zhang, Dong Xu
2010 J jnl
SeqRate: sequence-based protein folding type classification and rates prediction.
BMC Bioinform.
Guan Ning Lin, Zheng Wang, Dong Xu, Jianlin Cheng
2009 J jnl
ComPhy: prokaryotic composite distance phylogenies inferred from whole-genome gene sets.
BMC Bioinform.
Guan Ning Lin, Zhipeng Cai, Guohui Lin, Sounak Chakraborty, Dong Xu
2009 — conf
Sequence-Based Prediction of Protein Folding Rates Using Contacts, Secondary Structures and Support Vector Machines.
BIBM
Guan Ning Lin, Zheng Wang, Dong Xu, Jianlin Cheng
2008 J jnl
An integrated probabilistic approach for gene function prediction using multiple sources of high-throughput data.
Int. J. Comput. Biol. Drug Des.
Chao Zhang, Trupti Joshi, Guan Ning Lin, Dong Xu
2007 J jnl
NFU-Enabled FASTA: moving bioinformatics applications onto wide area networks.
Source Code Biol. Medicine
Erich J. Baker, Guan Ning Lin, Huadong Liu, Ravi Kosuri