1. [1] I. H. Park, N. Arora, H. Huo, N. Maherali, T. Ahfeldt, A. Shimamura,G. Q. Daley, "Disease-specific induced pluripotent stem cells", cell, no. 134(5), 877-886, 2008. [
DOI:10.1016/j.cell.2008.07.041] [
PMID] [
PMCID]
2. [2] D. R. Bentley, S. Balasubramanian, H. Swerdlow, G. P. Smith, J. Milton, C. G. Brown, J. M. Boutell, "Accurate whole human genome sequencing using reversible terminator chemistry", nature, vol. 456(7218), pp.53, 2008.
3. [3] W. Cook, and J. Palsberg, "A denotational semantics of inheritance and its correctness", Vol. 24. No. 10. ACM, 1989. [
DOI:10.1145/74878.74922]
4. [4] H. C. Lukaski, "Methods for the assessment of human body composition: traditional and new", The American journal of clinical nutrition, vol. 46 (4), pp. 537-556, 1987. [
DOI:10.1093/ajcn/46.4.537] [
PMID]
5. [5] R. A. Lewis, B. Otterud, D. Stauffer, J. M. Lalouel, & M. Leppert, "Mapping recessive ophthalmic diseases: linkage of the locus for Usher syndrome type II to a DNA marker on chromosome 1q", Genomics, vol. 7(2), pp.250-256, 1990 [
DOI:10.1016/0888-7543(90)90547-8]
6. [6] A. Bretto, H. Cherifi, D. Aboutajdine, "Hypergraph imaging: an overview", Pattern Recognition, vol. 35(3), pp. 651-658, 2002. [
DOI:10.1016/S0031-3203(01)00067-X]
7. [7] A. R. Forrest, H. Kawaji, M. Rehli, J. K. Baillie, M. J. De Hoon, V. Haberle, R. Andersson, "A level mammalian expression atlas", Nature, vol. 507(7493), pp. 462, 2012. [
DOI:10.1038/nature13182] [
PMID] [
PMCID]
8. [8] M. E. Hegi, A. C. Diserens, S. Godard, , P. Y. Dietrich, , L. Regli, , S. Ostermann, R. Stupp, "Clinical trial substantiates the predictive value of O-6-methylguanine-DNA methyltransferase promoter methylation in glioblastoma patients treated with temozolomide", Clinical cancer research, vol.10(6), pp. 1871-1874, 2008. [
DOI:10.1158/1078-0432.CCR-03-0384] [
PMID]
9. [9] کریمی عباس، حسینی لیلا سادات، "الگوریتم بهینه تقسیمبندی تصاویر میکروسکوپی خون برای تشخیص سلولهای لوسمی حاد لنفوبلاست با استفاده از الگوریتم FCM و بهینهسازی ژنتیک"، پردازش علائم و دادهها، 15 (2)، 45-54، 1397.
10. [9] Karimi A, Hoseini L S. An Optimal Algorithm for Dividing Microscopic Images of Blood for the Diagnosis of Acute Pulmonary Lymphoblastic Cell Using the FCM Algorithm and Genetic Optimization. JSDP. 2018; 15 (2) :45-54 [
DOI:10.29252/jsdp.15.2.45]
11. [10] وحیدی فردوسی صدیقه، امیرخانی حسین، "ترکیب وزندار خوشهبندیها با هدف افزایش صحّت خوشهبندی نهایی"، پردازش علائم و دادهها، 17 (2)، 85-100، 1399.
12. [10] Vahidi Ferdosi S, Amirkhani H. Weighted Ensemble Clustering for Increasing the Accuracy of the Final Clustering. JSDP. 2020; 17 (2) :100-85. [
DOI:10.29252/jsdp.17.2.100]
13. [11] M. A. Ahmad, Z. Borbora, J. Srivastava, & N. Contractor, "Link prediction across multiple social networks. In Data Mining Workshops (ICDMW)", 2010 IEEE International Conference on, pp. 911-918, 2010. [
DOI:10.1109/ICDMW.2010.79]
14. [12] H. M. Byrne, "Dissecting cancer through mathematics: from the cell to the animal model", Nature reviews. Cancer, vol.10 (3), pp. 221, 2010. [
DOI:10.1038/nrc2808] [
PMID]
15. [13] A. Csikász-Nagy, "Computational systems biology of the cell cycle", Briefings in bioinformatics, vol. 10(4), pp. 424-434, 2004. [
DOI:10.1093/bib/bbp005] [
PMID]
16. [14] J. Hofbauer, K. Sigmund, "Evolutionary game dynamics", Bulletin of the American Mathematical Society, vol. 40(4), pp.479-519, 2003. [
DOI:10.1090/S0273-0979-03-00988-1]
17. [15] R. P. Araujo, D. S. McElwain, "A history of the study of solid tumour growth: the contribution of mathematical modelling", Bulletin of mathematical biology, vol. 66(5), pp. 1039, 2004. [
DOI:10.1016/j.bulm.2003.11.002] [
PMID]
18. [16] A. Csikász-Nagy, M. Cavaliere, S. Sedwards, "Combining game theory and graph theory to model interactions between cells in the tumor microenvironment", In New Challenges for Cancer Systems Biomedicine Springer Milan, pp. 3-18, 2012. [
DOI:10.1007/978-88-470-2571-4_1]
19. [17] S.Aranganayagi, K. Thangavel, "Clustering categorical data using Silhouette coefficient as a relocating measure", In Conference on Computational Intelligence and Multimedia Applications, 2007, International Conference on vol. 2, pp. 13-17, 2007. [
DOI:10.1109/ICCIMA.2007.328]
20. [18] T.Nakano, T. Suda, M. Moore, R. Egashira, A. Enomoto, K. Arima, "Molecular communication for nanomachines using intercellular calcium signaling. In Nanotechnology," 5th IEEE Conference on, pp. 478-481, 2005.
21. [19] T. Nakano, M. Moore, A. Enomoto, T. Suda, T.Koujin, T. Haraguchi, Y. Hiraoka, A cell-based molecular communication network, In Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems , pp. 23, 2006. [
DOI:10.1145/1315843.1315871]
22. [20] H. Jiang, J. Liu, Z. Zhao, Graph mining based knowledge discovery in designing decision-making context models, In Systems and Informatics (ICSAI), 2014 2nd International Conference on , pp. 948-953, 2014. [
DOI:10.1109/ICSAI.2014.7009422] [
PMCID]
23. [21] H. Shao, Y. He, K. C. Li, X. Zhou, "A system mathematical model of a cell-cell communication network in amyotrophic lateral sclerosis", Molecular BioSystems, vol. 9(3), pp.398-406. 2013. [
DOI:10.1039/c2mb25370d] [
PMID] [
PMCID]
24. [22] R.Gao, H. Xu, P. Hu, W. C. Lau, "Accelerating graph mining algorithms via uniform random edge sampling", In Communications (ICC), 2016 IEEE International Conference on, pp. 1-6, 2016. [
DOI:10.1109/ICC.2016.7511156]
25. [23] T. Alqurashi, W. Wang, "Object-neighbourhood clustering ensemble method", In International Conference on Intelligent Data Engineering and Automated Learning, pp. 142-149, 2014. [
DOI:10.1007/978-3-319-10840-7_18]
26. [24] W. Cui, Y. Xiao, H. Wang, W. Wang, "Local search of communities in large graphs", In Proceedings of the 2014 ACM SIGMOD international conference on Management of data , 2014, pp. 991-1002. [
DOI:10.1145/2588555.2612179]
27. [25] J. A. Ramilowski, T. Goldberg, J. Harshbarger, E. Kloppman, M. Lizio, V. P. Satagopam, A. Forrest, "A draft network of ligand-receptor-mediated multicellular signalling in human", Nature communications, 2015. [
DOI:10.1038/ncomms8866] [
PMID] [
PMCID]
28. [26] L. Cantini, E. Medico, S. Fortunato, M. Caselle, "Detection of gene communities in multi-networks reveals cancer drivers", Scientific reports, vol. 5, srep17386, 2015. [
DOI:10.1038/srep17386] [
PMID] [
PMCID]
29. [27] G. A. Pavlopoulos, M. Secrier, C. Moschopoulos, N. Soldatos, S. Kossida, J. Aerts, P. G. Bagos, "Using graph theory to analyze biological networks", BioData mining, vol. 4(1), no.10, 2010. [
DOI:10.1186/1756-0381-4-10] [
PMID] [
PMCID]
30. [28] A. L. Fred, A. K. Jain, "Combining multiple clusterings using evidence accumulation", IEEE transactions on pattern analysis and machine intelligence, vol. 27(6), pp. 835-850, 2005. [
DOI:10.1109/TPAMI.2005.113] [
PMID]
31. [29] A. Strehl, J. Ghosh, "Relationship-based clustering and visualization for high-dimensional data mining", INFORMS Journal on Computing, vol. 15(2), pp. 208-230, 2003. [
DOI:10.1287/ijoc.15.2.208.14448]
32. [30] G. Karypis, V. Kumar, A hypergraph partitioning package, 1998. [
DOI:10.1145/309847.309954]
33. [31] N. Iam-On, T. Boongoen, S. Garrett, C. Price, "A link-based approach to the cluster ensemble problem", IEEE transactions on pattern analysis and machine intelligence, vol.33(12), pp. 2396-2409, 2011. [
DOI:10.1109/TPAMI.2011.84] [
PMID]
34. [32] S. Mimaroglu, E. Aksehirli, "Diclens: Divisive clustering ensemble with automatic cluster number", IEEE/ACM transactions on computational biology and bioinformatics, vol. 9(2), pp. 408-420, 2012. [
DOI:10.1109/TCBB.2011.129] [
PMID]
35. [33] M. A. Dillies, A. Rau, J. Aubert, C. Hennequet-Antier, M. Jeanmougin, N. Servant, G. Guernec, "A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis", Briefings in bioinformatics, vol. 14(6), pp. 671-683. 2013. [
DOI:10.1093/bib/bbs046] [
PMID]
36. [34] R. Reddy, "A comparison of methods: normalizing high-throughput RNA sequencing data", bioRxiv, 026062, 2015. [
DOI:10.1101/026062]
37. [35] S. Hawinkel, "Evaluation of normalization and analysis methods for microbiome data", 2015.
38. [36] S. Noguchi, T. Arakawa, S. Fukuda, M. Furuno, A. Hasegawa, F. Hori, T. Kawashima, "FANTOM5 CAGE profiles of human and mouse samples", Scientific data, vol. 4, pp. 112-170, 2017.
39. [37] L. C. Gandolfo, T. P. Speed, RLE Plots: Visualising Unwanted Variation in High Dimensional Data. arXiv preprint arXiv:1704.03590, 2017. [
DOI:10.1371/journal.pone.0191629] [
PMID] [
PMCID]
40. [38] M. Arab, M. Hasheminezhad, Limitations of quality metrics for community detection and evaluation, In Web Research (ICWR), 2017 3th International Conference, pp. 7-14, 2017. [
DOI:10.1109/ICWR.2017.7959298]
41. [39] Y. Qiao, H. Wang, D. Wang, "Parallelizing and optimizing overlapping community detection with speaker-listener Label Propagation Algorithm on multi-core architecture", In Cloud Computing and Big Data Analysis (ICCCBDA), 2017 IEEE 2nd International Conference, 2017 , pp. 439-443.
42. [40] S. Mohammadi, J. Davila-Velderrain, M. Kellis, A. Grama, DECODE-ing sparsity patterns in single-cell RNA-seq. bioRxiv, 241646, 2018 [
DOI:10.1101/241646]
43. [41] D. J. D. S.Price, Networks of scientific papers. Science, pp. 510-515, 1965. [
DOI:10.1126/science.149.3683.510] [
PMID]
44. [42] A. Papadimitriou, P. Symeonidis, Y. Manolopoulos, "Fast and accurate link prediction in social networking systems", Journal of Systems and Software, vol. 85(9), pp. 2119-2132, 2012. [
DOI:10.1016/j.jss.2012.04.019]
45. [43] L. Katz, "A new status index derived from sociometric analysis", Psychometrika, vol. 18 (1), pp. 39-43, 1953. [
DOI:10.1007/BF02289026]