Heyong Wang

ORCID: 0000-0001-8668-5378
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About
Contact & Profiles
Research Areas
  • Text and Document Classification Technologies
  • Cancer-related molecular mechanisms research
  • Imbalanced Data Classification Techniques
  • Consumer Market Behavior and Pricing
  • MicroRNA in disease regulation
  • Digital Marketing and Social Media
  • Advanced Text Analysis Techniques
  • Data Mining Algorithms and Applications
  • Angiogenesis and VEGF in Cancer
  • Recommender Systems and Techniques
  • Spam and Phishing Detection
  • Sentiment Analysis and Opinion Mining
  • Anomaly Detection Techniques and Applications
  • Circular RNAs in diseases
  • Mathematical Dynamics and Fractals
  • Web Data Mining and Analysis
  • Big Data and Business Intelligence
  • Financial Distress and Bankruptcy Prediction
  • Image Retrieval and Classification Techniques
  • Traditional Chinese Medicine Studies
  • Advanced Image and Video Retrieval Techniques
  • International Law and Aviation
  • Expert finding and Q&A systems
  • Fungal Plant Pathogen Control
  • Cell Adhesion Molecules Research

South China University of Technology
2015-2025

Chengdu University of Traditional Chinese Medicine
2022-2025

Sichuan Integrative Medicine Hosipital
2025

Guangzhou Medical University
2024

Al-Farabi Kazakh National University
2022-2024

Integrated Chinese Medicine (China)
2022

Shanghai Pulmonary Hospital
2012-2019

Tongji University
2009-2019

Iowa State University
2012

Kailuan General Hospital
2010

Background/Aims: MicroRNAs (miRNAs) play important roles in tumorigenesis. We investigated the and mechanisms of miR-138 human non-small cell lung cancer (NSCLC). Methods: The expression was first examined NSCLC lines tumourtissues by real-time PCR vitro vivo functional effect further. A luciferase reporter assay conducted to confirm target association between enhancer zeste homolog 2 (EZH2). Results: frequently downregulated cells tissues. Overexpression inhibited proliferation tumor growth...

10.1159/000343349 article EN cc-by-nc-nd Cellular Physiology and Biochemistry 2013-01-01

Our pilot study using miRNA arrays found that miRNA-29c (miR-29c) is differentially expressed in the paired low-metastatic lung cancer cell line 95C compared to high-metastatic 95D. Bioinformatics analysis shows integrin β1 and matrix metalloproteinase 2 (MMP2) could be important target genes of miR-29c. Therefore, we hypothesized miR-29c suppresses adhesion extracellular (ECM) metastasis by targeting MMP2. The gain-of-function studies raised expression 95D cells its mimics showed reductions...

10.1371/journal.pone.0070192 article EN cc-by PLoS ONE 2013-08-06

10.1007/s10799-012-0139-4 article EN Information Technology and Management 2012-08-17

10.1016/j.ipm.2018.09.004 article EN Information Processing & Management 2018-10-17

Background: To explore the association between clinical phenotype of hyperthyroidism in children and exon gene mutation locus children. Methods: This study collected data from 39 with at Guangzhou Women Children’s Medical Center 2023. Apriori rules are used to analyze locus. Results: It is discovered that girls associated mutations TG, LHCGR, TSHR other genes. Hyperthyroidism often occurs school age, age patients related When there no family history hyperthyroidism, mostly GNAS CTLA4...

10.62617/mcb751 article EN Molecular & cellular biomechanics 2025-01-10

Src and the mammalian target of rapamycin (mTOR) signaling are commonly activated in non-small cell lung cancer (NSCLC) hence potential targets for chemotherapy. Although combined use inhibitor Dasatinib with other chemotherapeutic agents has shown superior efficacy treatment, mechanisms that lead to enhanced sensitivity not completely understood. In this study, we found Rapamycin dramatically Dasatinib-induced growth inhibition cycle G1 arrest human adenocarcinoma A549 cells without...

10.1371/journal.pone.0129663 article EN cc-by PLoS ONE 2015-06-10

A new approach to construct the classifiers from imbalanced datasets is proposed by combining SMOTE (synthetic minority over-sampling technique) and Biased-SVM (biased support vector machine) approaches. dataset if classification categories are not approximately equally represented. Often real-world data sets predominately composed of ldquonormalrdquo examples with only a small percentage ldquoabnormalrdquo or ldquointerestingrdquo examples. The cost misclassifying an abnormal (interesting)...

10.1109/ijcnn.2008.4633794 article EN 2008-06-01

From the perspective of innovation manufacturing links, this paper conducted research on current situation development and relationship between regional economy digital transformation, aiming to offer suggestions reference for relevant policy making. Firstly, taking INCOPAT patent database as data source, a quantitative analysis was five key links in industry, which obtained characteristics industry from link innovation. Then, based economic panel regions China, coupling coordination...

10.3390/su16031009 article EN Sustainability 2024-01-24

Background: Aimed to identify the benefit population from continuation of epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs), this study investigated efficacy EGFR-TKIs plus chemotherapy beyond response evaluation criteria in solid tumors-progressive disease (RECIST-PD) according different progression modes and T790M mutational status. Methods: From November 2009 July 2015, 630 patients with advanced non-small cell lung cancer (NSCLC) receiving gefitinib as initial...

10.21037/jtd.2017.07.107 article EN Journal of Thoracic Disease 2017-09-01

10.1016/j.matcom.2020.12.009 article EN Mathematics and Computers in Simulation 2020-12-17

With the rapid development of web applications such as social network, a large amount electric text data is accumulated and available on Internet, which causes increasing interests in mining. Text classification one most important subfields In fact, documents are often represented high-dimensional sparse document term matrix (DTM) before classification. Feature selection essential vital for due to high dimensionality sparsity DTM. An efficient feature method capable both reducing dimensions...

10.1155/2015/695720 article EN Mathematical Problems in Engineering 2015-01-01

Sparsity of rating data is a severe problem to be solved in modern recommendation researches. The fusion method an effective solution for the problem. combines and other types user feedback data, such as reviews image, improve performance traditional algorithms. Some researchers have proposed algorithms based on BP (Back Propagation) neural network achieved better results. However, some existing still shortcomings. They rely assistance Moreover, high complexity processes these possibly has...

10.1109/access.2021.3080079 article EN cc-by IEEE Access 2021-01-01

Tumor invasiveness depends on the ability of tumor cells to breach endothelial barriers. In this study, we investigated mechanism by which adhesion melanoma endothelium regulates adherens junction integrity and modulates transendothelial migration (TEM) initiating thrombin generation. We found that B-Raf(V600E) mutation in metastatic up-regulated tissue factor (TF) expression cell membranes promoted production. Co-culture monolayers with mediated opening inter-endothelial spaces near contact...

10.1074/jbc.m115.696419 article EN cc-by Journal of Biological Chemistry 2015-10-27

EPCs were isolated primarily in 1997 by Asahara et al. and recent studies indicated that bone-marrow-derived contributed little to the endothelium of tumor vessels. Tumors CNS system demonstrate various features angiogenesis.EPCs derived from rat bone marrow cultured M199 medium without any induced factors. studied using immunohistochemical staining, Flow cytometry culture under three-dimensional condition determine EPCs' characteristics vitro. We also established an animal model injecting...

10.1186/1475-2867-12-32 article EN cc-by Cancer Cell International 2012-06-21

Small and medium enterprises (SMEs) have played a vital role in technology innovation development of national economy throughout the world. To be competitive to react faster market demands, SMEs need new information processing techniques analyze increasing amount produced data, innovative solutions order manage computational resources with better flexibility, scalability, efficiency smaller costs. The emergence Cloud Computing represents valuable answer these requirements satisfied services....

10.4304/jcp.8.5.1240-1246 article EN Journal of Computers 2013-04-19

10.1007/s11042-023-16990-7 article EN Multimedia Tools and Applications 2023-10-18

10.1360/crad20060826 article EN Journal of Computer Research and Development 2006-01-01
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