His main research concerns Artificial intelligence, Data mining, Computational biology, Machine learning and Centrality. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Mri image and Pattern recognition. Jianxin Wang interconnects Interaction network, Similarity, Biological network and Clustering coefficient in the investigation of issues within Data mining.
His research in Interaction network focuses on subjects like Cluster analysis, which are connected to Theoretical computer science. His Computational biology study integrates concerns from other disciplines, such as Genetics, Bioinformatics, Genomics, DNA microarray and Disease. His research in Centrality intersects with topics in Value and Network topology.
Jianxin Wang mainly focuses on Artificial intelligence, Computer network, Computational biology, Algorithm and Combinatorics. His research integrates issues of Machine learning and Pattern recognition in his study of Artificial intelligence. His biological study spans a wide range of topics, including Throughput and Distributed computing.
His Computational biology course of study focuses on Data mining and Centrality. His Algorithm study frequently draws connections to other fields, such as Set. Many of his studies involve connections with topics such as Discrete mathematics and Combinatorics.
Jianxin Wang mostly deals with Artificial intelligence, Computational biology, Pattern recognition, Machine learning and Algorithm. His Computational biology research is multidisciplinary, relying on both Genome, Disease and Identification. He has included themes like Cross-validation and Biological data in his Disease study.
He performs multidisciplinary studies into Machine learning and Drug repositioning in his work. His work on Set expands to the thematically related Algorithm. Similarity connects with themes related to Cluster analysis in his study.
Jianxin Wang focuses on Artificial intelligence, Computational biology, Disease, Machine learning and Pattern recognition. His research investigates the connection between Artificial intelligence and topics such as Identification that intersect with problems in Centrality. His Computational biology research incorporates elements of DNA methylation, Genome, Disease Ontology, Interaction network and Similarity.
His Interaction network study combines topics in areas such as Matching, Proteomics and Data modeling. Jianxin Wang combines subjects such as Mutual information and Regulator gene with his study of Machine learning. His Pattern recognition research includes themes of Functional magnetic resonance imaging and Key.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks.
Yu Tang;Min Li;Jianxin Wang;Yi Pan.
A survey of MRI-based brain tumor segmentation methods
Jin Liu;Min Li;Jianxin Wang;Fangxiang Wu.
Tsinghua Science & Technology (2014)
Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning.
Guan Wang;Yu Sun;Jianxin Wang.
Computational Intelligence and Neuroscience (2017)
Identification of Essential Proteins Based on Edge Clustering Coefficient
Jianxin Wang;Min Li;Huan Wang;Yi Pan.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2012)
Modifying the DPClus algorithm for identifying protein complexes based on new topological structures.
Min Li;Jian-er Chen;Jian-er Chen;Jian-xin Wang;Bin Hu.
BMC Bioinformatics (2008)
A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks
Jianxin Wang;Min Li;Jianer Chen;Yi Pan.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2011)
A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data
Min Li;Min Li;Hanhui Zhang;Jian-xin Wang;Yi Pan;Yi Pan.
BMC Systems Biology (2012)
Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm
Huimin Luo;Jianxin Wang;Min Li;Junwei Luo.
Recent advances in clustering methods for protein interaction networks.
Jianxin Wang;Jianxin Wang;Min Li;Youping Deng;Yi Pan.
BMC Genomics (2010)
Predicting essential proteins based on weighted degree centrality
Xiwei Tang;Jianxin Wang;Jiancheng Zhong;Yi Pan.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2014)
Profile was last updated on December 6th, 2021.
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