Li, Jinyan
Li, Jinyan, 1963-
Jinyan Li researcher
Li, Jinyan, belastingen
VIAF ID: 44385961 (Personal)
Permalink: http://viaf.org/viaf/44385961
Preferred Forms
- 100 0 _ ‡a Jinyan Li ‡c researcher
- 100 1 _ ‡a Li, Jinyan
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- 100 1 _ ‡a Li, Jinyan
- 100 1 _ ‡a Li, Jinyan
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- 100 1 _ ‡a Li, Jinyan, ‡d 1963-
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4xx's: Alternate Name Forms (8)
5xx's: Related Names (2)
Works
Title | Sources |
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Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences. | |
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification. | |
Advanced Data Mining and Applications 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings | |
Antibody-specified B-cell epitope prediction in line with the principle of context-awareness | |
Beneficial ownership in tax treaties : judicial interpretation and the case for clarity | |
Bi-level error correction for PacBio long reads | |
Binding affinity prediction for protein-ligand complexes based on β contacts and B factor. | |
A bioinformatics potpourri. | |
Bird Flu Outbreak Prediction via Satellite Tracking | |
China's tax reform options | |
Chromosome preference of disease genes and vectorization for the prediction of non-coding disease genes. | |
Clustering orthologous proteins across phylogenetically distant species. | |
Co-Occurring Atomic Contacts for the Characterization of Protein Binding Hot Spots | |
Comparaison et évaluation du régime fiscal applicable au revenu de provenance étrangère au Canada, en Australie, en France, en Allemagne et aux États-Unis | |
Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs | |
Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships | |
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions | |
DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions | |
DeEPs: A New Instance-Based Lazy Discovery and Classification System | |
Delineation of the frequency and boundary of chromosomal copy number variations in paediatric neuroblastoma. | |
Detection of outlier residues for improving interface prediction in protein heterocomplexes. | |
Discovery of significant rules for classifying cancer diagnosis data | |
Distinct interfacial biclique patterns between ssDNA-binding proteins and those with dsDNAs | |
DNAFSMiner: a web-based software toolbox to recognize two types of functional sites in DNA sequences. | |
DomSVR: domain boundary prediction with support vector regression from sequence information alone | |
Elitist Binary Wolf Search Algorithm for Heuristic Feature Selection in High-Dimensional Bioinformatics Datasets. | |
Exploring Consensus RNA Substructural Patterns using Subgraph Mining. | |
Grouping miRNAs of similar functions via weighted information content of gene ontology. | |
Guest Editors' Introduction: Data Mining in Bioinformatics | |
Hamming-shifting graph of genomic short reads: Efficient construction and its application for compression | |
High-speed and high-ratio referential genome compression | |
Hybrid outcome prediction model for severe traumatic brain injury. | |
Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach. | |
Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs | |
Identification of WD40 repeats by secondary structure-aided profile-profile alignment | |
Imbalance learning for the prediction of N-Methylation sites in mRNAs | |
Income tax at 100 years : essays and reflections on the Income War Tax Act | |
Inference of gene interaction networks using conserved subsequential patterns from multiple time course gene expression datasets | |
Influenza A HA's conserved epitopes and broadly neutralizing antibodies: a prediction method | |
Insights into bacterial genome composition through variable target GC content profiling | |
Integrating water exclusion theory into β contacts to predict binding free energy changes and binding hot spots | |
International taxation in Canada : principles and practices | |
International taxation in China : a contextualized analysis | |
International taxation in the age of electronic commerce : a comparative study | |
Introduction to Selected Papers from GIW2018 | |
An isomiR expression panel based novel breast cancer classification approach using improved mutual information | |
k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks. | |
Laplacian normalization and random walk on heterogeneous networks for disease-gene prioritization. | |
The long noncoding RNA lncNB1 promotes tumorigenesis by interacting with ribosomal protein RPL35 | |
The long noncoding RNA MALAT1 promotes tumor-driven angiogenesis by up-regulating pro-angiogenic gene expression | |
Maximization of negative correlations in time-course gene expression data for enhancing understanding of molecular pathways | |
Mining for the antibody-antigen interacting associations that predict the B cell epitopes | |
Mining statistically-solid k-mers for accurate NGS error correction | |
Modeling protein interacting groups by quasi-bicliques: complexity, algorithm, and application | |
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces | |
ONP-Miner: One-off Negative Sequential Pattern Mining | |
A pHMM-ANN based discriminative approach to promoter identification in prokaryote genomic contexts | |
predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue. | |
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases | |
Prediction of 8-state protein secondary structures by a novel deep learning architecture | |
Prediction of protein long-range contacts using an ensemble of genetic algorithm classifiers with sequence profile centers | |
Principles of Canadian income tax law | |
Propensity vectors of low-ASA residue pairs in the distinction of protein interactions. | |
Protein binding hot spots and the residue-residue pairing preference: a water exclusion perspective | |
Protein binding hot spots prediction from sequence only by a new ensemble learning method. | |
Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions | |
Rule discovery and distance separation to detect reliable miRNA biomarkers for the diagnosis of lung squamous cell carcinoma | |
Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns | |
Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients. | |
SOHPRED: a new bioinformatics tool for the characterization and prediction of human S-sulfenylation sites | |
Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences | |
Strong compound-risk factors: efficient discovery through emerging patterns and contrast sets. | |
Structural and functional analysis of multi-interface domains. | |
Tax expenditures : state of the art | |
Taxation in the People's Republic of China | |
Taxation of foreign investment ... c1988: | |
Taxation of wealth transfers : class materials | |
Tertiary structure-based prediction of conformational B-cell epitopes through B factors | |
Twelve C2H2 zinc-finger genes on human chromosome 19 can be each translated into the same type of protein after frameshifts | |
Use of extreme patient samples for outcome prediction from gene expression data. | |
Using contrast patterns between true complexes and random subgraphs in PPI networks to predict unknown protein complexes. | |
Using sequential patterns as features for classification models to make accurate predictions on ICU events. | |
WITHDRAWN: Improving classification of protein binders for virtual drug screening by novel swarm-based feature selection techniques. | |
Z-score biological significance of binding hot spots of protein interfaces by using crystal packing as the reference state |