Jinyan Li

Research interests

Publications

• Melatonin mitigates aflatoxin B1‐induced liver injury via modulation of gut microbiota/intestinal FXR/liver TLR4 signaling axis in mice

  Journal of Pineal Research · 2022 · 10.1111/jpi.12812

• Melatonin mitigates aflatoxin B1‐induced liver injury via modulation of gut microbiota/intestinal FXR/liver TLR4 signaling axis in mice

  Journal of Pineal Research · 2022 · 10.1111/jpi.12812

• Inkjet printing of dopamine followed by UV light irradiation to modify mussel-inspired PVDF membrane for efficient oil-water separation

  Journal of Membrane Science · 2020 · 10.1016/j.memsci.2020.118790

• A Unique Protease Cleavage Site Predicted in the Spike Protein of the Novel Pneumonia Coronavirus (2019-nCoV) Potentially Related to Viral Transmissibility

  Virologica Sinica · 2020 · 10.1007/s12250-020-00212-7

• A Unique Protease Cleavage Site Predicted in the Spike Protein of the Novel Pneumonia Coronavirus (2019-nCoV) Potentially Related to Viral Transmissibility

  Virologica Sinica · 2020 · 10.1007/s12250-020-00212-7

• Predicting the angiotensin converting enzyme 2 (ACE2) utilizing capability as the receptor of SARS-CoV-2

  Microbes and Infection · 2020 · 10.1016/j.micinf.2020.03.003

• Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network

  Neurocomputing · 2019 · 10.1016/j.neucom.2019.05.013

• Prediction of 8-state protein secondary structures by a novel deep learning architecture

  BMC Bioinformatics · 2018 · 10.1186/s12859-018-2280-5

• AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest

  Scientific Reports · 2018 · 10.1038/s41598-018-19752-w

• Prediction of 8-state protein secondary structures by a novel deep learning architecture

  BMC Bioinformatics · 2018 · 10.1186/s12859-018-2280-5

• Resistance trends among clinical isolates in China reported from CHINET surveillance of bacterial resistance, 2005–2014

  Clinical Microbiology and Infection · 2016 · 10.1016/j.cmi.2016.01.001

• Recent advances in guest effects on spin-crossover behavior in Hofmann-type metal-organic frameworks

  Coordination Chemistry Reviews · 2016 · https://doi.org/10.1016/j.ccr.2016.12.002

• Preparation of copper-containing bioactive glass/eggshell membrane nanocomposites for improving angiogenesis, antibacterial activity and wound healing

  Acta Biomaterialia · 2016 · 10.1016/j.actbio.2016.03.011

• Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

  Computers and Electronics in Agriculture · 2015 · 10.1016/j.compag.2015.10.015

• Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

  Computers and Electronics in Agriculture · 2015 · 10.1016/j.compag.2015.10.015

• Mining statistically important equivalence classes and delta-discriminative emerging patterns

  · 2007 · 10.1145/1281192.1281240

• Maximal Biclique Subgraphs and Closed Pattern Pairs of the Adjacency Matrix: A One-to-One Correspondence and Mining Algorithms

  IEEE Transactions on Knowledge and Data Engineering · 2007 · 10.1109/tkde.2007.190660

• Mining border descriptions of emerging patterns from dataset pairs

  Knowledge and Information Systems · 2004 · 10.1007/s10115-004-0178-1

• Discovery of significant rules for classifying cancer diagnosis data

  Bioinformatics · 2003 · 10.1093/bioinformatics/btg1066

• Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns

  Bioinformatics · 2002 · https://doi.org/10.1093/bioinformatics/18.5.725

• Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients

  Bioinformatics · 2002 · 10.1093/bioinformatics/19.1.71

• A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns.

  PubMed · 2002

• Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling

  Cancer Cell · 2002 · https://doi.org/10.1016/s1535-6108(02)00032-6

• Making Use of the Most Expressive Jumping Emerging Patterns for Classification

  Knowledge and Information Systems · 2001 · 10.1007/pl00011662

• Making Use of the Most Expressive Jumping Emerging Patterns for Classification

  Knowledge and Information Systems · 2001 · 10.1007/pl00011662

• Efficient mining of emerging patterns

  Journal · 1999 · https://doi.org/10.1145/312129.312191

• CAEP: Classification by Aggregating Emerging Patterns

  Lecture notes in computer science · 1999 · https://doi.org/10.1007/3-540-46846-3_4

Current projects

No projects listed.