Fig. 1. Gene, Disease and Relation Object Structure
Fig. 2. Gene Disease Relation Extension Graph
Fig. 3. A Part of Relation Data
Fig. 4. Comparing findRelatedGenes_SD Methods
Fig. 5. Comparing findRelatedGenes_MD Methods
Fig. 6. Comparing findRelatedDiseases_SG Methods
Fig. 7. First Method Elapsed Time
Fig. 8. Comparing Approximated Algorithm Elapsed Time with Optimized Algorithm
Fig. 9. Comparing Approximated Algorithm Accuracy with Optimized Algorithm
Table 1. The Platform Sectors and Methods
Table 2. Finding Genes for given Diseases Methods
Table 3. Finding Diseases for given Genes Methods
Table 4. A Disease and Gene Relation Algorithm
Table 5. A Gene and Disease Relation Algorithm
Table 6. Gene Set and Disease Relation Algorithm
Table 7. Gene Set and Relation Algorithm
Table 8. Relation Measurement Algorithm
Table 9. Dynamic Programming Based Algorithm
Table 10. Approximation Based Algorithm
Table 11. findRelatedGenes_SD() Method Result
Table 12. findRelatedGenes_MD() Method Result
Table 13. findRelatedDiseases_SG() Method Result
References
- Man-Sun Kim and Jeong-Rae Kim, "Characterization of the Alzheimer's disease-related network based on the dynamic network approach," Journal of Korean Institute of Intelligent Systems, Vol.26, No.6, pp.529-535, Dec. 2015.
- Kai Zheng, Gangquan Si, and Chen Duan., "Diagnosis of kashin-beck disease and other common joint diseases via a gene model," in Proceedings of IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC 2017), Chengdu, China, Dec. pp.808-812, 2017.
- Gui-Qiong Zhu and Pei-Hui Yang, "Identifying the candidate genes for Alzheimer's disease based on the rejection region of T test," International Conference on Machine Learning and Cybernetics (ICMLC 2016), Vol.2, pp.732-736, 2016.
- Rohit Gupta, S. M. Fayaz, and Sanjay Singh, "Identification of gene network motifs for cancer disease diagnosis," in Proceedings of IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER 2016), India, pp.179-184, Aug. 2016.
- Jahnabi Dutta, Surama Biswas, and Souvik Saha, "Identification of disease-critical genes causing preeclampsia: Meta-heuristic approaches" in Proceedings of IEEE UP Section Conference on Electrical Computer and Electronics (UPCON 2015), Allahabad, India, pp.1-6, Dec. 2015.
- Ji-Hwan Ha, Hyun-Jin Kim, and Sang-Hyun Park, "An Extraction Method of Disease-Related miRNA through the Target Gene Based miRNA Network," Journal of Korean Institute of Information Technology, Vol.13 No.1, pp.113-119, Jan. 2015. https://doi.org/10.14801/jkiit.2015.13.1.113
- Jong-Keun Lee, S.S Park, D.W. Hong, et al, "Development of a Gene's Functional Classifying System for a Microarray Data using a Gene Ontology," Journal of Korea Information Science Society, Vol.33, No.2C, pp.246-251, Oct. 2006.
- Xiwei Tang, Xiaohua Hu, Xuejun Yang, et al., "A algorithm for identifying disease genes by incorporating the subcellular localization information into the protein-protein interaction networks," in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016), Shenzhen, China, Dec. pp.308-311, 2016.
- Shadi A. Aljawarneh, Reem Jaradat, Abdelsalam M. Maatuk, et al., "Gene profile classification: A proposed solution for predicting possible diseases and initial results," in Proceedings of International Conference on Engineering & MIS (ICEMIS 2016), Agadir, Morocco, pp. 1-7, Sep. 2016.
- Shadi A. Aljawarneh, Reem Jarada, et al., "Gene profile classification A proposed solution for predicting possible diseases and initial results," in Proceedings of IEEE Engineering & MIS (ICEMIS 2016), Agadir, Morocco, pp.1-7, Nov. 2016.
- Amirhossein Tavanaei, Nishanth Anandanadarajah, et al., "A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure," in Proceedings of Bioinformatics and Biomedicine (BIBM 2017), MO, USA, pp.613-617, Dec. 2017.
- TengJiao Wang, Wei Liu HaiLin, et al., "Predicting potential disease-related genes using the network topological features," in Proceedings of Human Health and Biomedical Engineering (HHBE 2011), Jilin, China, pp.871-876, Sep. 2011.
- Mustafa Ozgur Cingiz, and Banu Diri, "The inference of gene co-expression networks of breast and colon cancer using miRNA-target gene interactions data," in Proceedings of Signal Processing and Communications Applications Conference (SIU 2017), Antalya, Turkey, pp.1-4, Jun. 2017.
- Ashkan Entezari Heravi and Sheridan Houghten, "A methodology for disease gene association using centrality measures," in Proceedings of IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver, Canada, pp. 24-31, Jul. 2016.
- Ashwani Kumar and Tiratha Raj Singh, "Systems biology approach for gene set enrichment and topological analysis of Alzheimer's disease pathway," in Proceedings of International Conference on Bioinformatics and Systems Biology (BSB 2016), Allahabad, India, pp.1-5, Mar. 2016.
- Nivit Grewal, Shailendra Singh, and Trilok Chand, "Effect of Aggregation Operators on Network-Based Disease Gene Prioritization: A Case Study on Blood Disorders", IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.14, No.6, pp.1276-1287, Aug. 2016. https://doi.org/10.1109/TCBB.2016.2599155
- Kazutaka Nishiwaki, Katsutoshi Kanamori, et al., "Finding a disease-related gene from microarray data using random forest," in Proceedings of Cognitive Informatics & Cognitive Computing (ICCI*CC 2017), CA, USA, pp.542-546, Feb. 2017.
- Khalid M.O. Nahar and Izzat Alsmadi, "Information analysis to study interactions between different genes and diseases," in Proceedings of 8th International Conference on Information Technology (ICIT 2017), Bhubaneswar, India, pp.1-5, Dec. 2017.
- Zhen Tian, Maozu Guo, Chunyu Wang, et al., "Constructing an integrated gene similarity network for the identification of disease genes," in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016), Shenzhen, China, pp.1663-1668, Dec. 2016.
- Kyungsik Ha, Jinmuk Lim, and Hong-Gee Kim, "Integrated Model design of miRNA, PPI and Disease Information," Journal of Korea Information Science Society, Vol.39, No.1B, pp.492-494, Jun. 2012.
- Kyungsik Ha, Jinmuk Lim, and Hong-Gee Kim, "Integrated Model Design of Microarray Data Using miRNA, PPI, Disease Information," Journal of Korean Institute of Intelligent Systems, Vol.22, No.1B, pp.492-494, Jun. 2012.
- Jeongwoo Kim and Sanghyun Park, "ISN: Inferring disease-related genes using seed gene and network analysis," in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), Banff, Canada, pp.2012-2017, Oct. 2017.
- Sun-Wook Choi and Chong Ho Lee, "Gene Expression Data Analysis Using Parallel Processor based Pattern Classification Method," Journal of The Institute of Electronics Engineers of Korea, Vol.46, No.6, pp.44-55, Nov. 2009.
- Kai Zheng, Gangquan Si, and Chen Duan., "Application of a gene diagnosis model in the identification of Kashin-Beck disease and similar joint diseases," in Proceedings of IEEE International Conference on Computer and Communications (ICCC 2017), Chengdu, China, pp.2669-2673, Dec. 2017.
- Pradipta Maji and Ekta Shah, "Significance and Functional Similarity for Identification of Disease Genes," IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.14, No.16, pp.1419-1433, Aug. 2016.
- Hyung-Seok Choi, "Systematic Integrative Analysis of Heterogeneous Bio Big Data for Identification of Diseasecausing Gene Network," Journal of Korea Information Science Society, Vol.31, No.5, pp.61-68, Aug. 2013.
- Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, et al., "Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes," in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017), MO, USA, pp.208-215, Nov. 2017.
- Sun-Wook Choi and Chong Ho Lee, "Disease Classfication using Random Subspace Method based on Gene Interaction Information and mRMR Filter," Journal of Korean Institute of Intelligent Systems, Vol.22, No.2, pp.192-197, Apr. 2012. https://doi.org/10.5391/JKIIS.2012.22.2.192
- Chae-Gyun Lim, A.K.M. Tauhidul Islam, and Byeong-Soo Jeong, "Efficient Parallel Gene Selection Method based on MapReduce," Journal of Korea Information Science Society: Databases, Vol.41, No.3, pp.162-167, Jun. 2014.