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Accurate Prediction of Cancers Stem Cells Incident using Enhanced Adaboost Algorithm

by Mohamed Abd Elhamid Abbas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 1
Year of Publication: 2012
Authors: Mohamed Abd Elhamid Abbas
10.5120/8385-1990

Mohamed Abd Elhamid Abbas . Accurate Prediction of Cancers Stem Cells Incident using Enhanced Adaboost Algorithm. International Journal of Computer Applications. 53, 1 ( September 2012), 19-25. DOI=10.5120/8385-1990

@article{ 10.5120/8385-1990,
author = { Mohamed Abd Elhamid Abbas },
title = { Accurate Prediction of Cancers Stem Cells Incident using Enhanced Adaboost Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 1 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number1/8385-1990/ },
doi = { 10.5120/8385-1990 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:00.317038+05:30
%A Mohamed Abd Elhamid Abbas
%T Accurate Prediction of Cancers Stem Cells Incident using Enhanced Adaboost Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 1
%P 19-25
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cancers may abide or cycle after treatment because a brief aboriginal adjunct cells, bawled cancer stem cells, abides back to seed new tumors. Albeit scientists are not yet absolute about the bestowal cancer stem cells amusement in disease, apocalypse is acquiring that these cells are accurately antagonistic to chemotherapy and detachment, and can continue in the body deflates after treatment. Because cancer stem cells, which can cause new tumors, may endure backside after chemotherapy and radiation treatments, detecting aqueducts to aim these cells characteristically may allot a behavior to breed treatment accrual arrogant. But gaining access and analyzing cancer stem cells has been braving due to very minimal are convince in tumors and they are adverse to act and adjure alien the body. The halfway idealist of this paper is to portend the steps of cancer stem cells incident more precise and aptly. This paper decline a decipherment of adaboost algorithm to be adroit to foreshadow the concurrent steps of the cancer stem cells cardinal points. The enhanced version receives from stide detector its thoughts. The main merit of stide detector is its capability to predict the concurrent processes based on the space consumption complexity. The results show that there are clear divergence and convergence in error rate values of training and testing stages. And to obtain a precise prediction from the proposed algorithm, the threshold values should be in an average value. The results point to the proposed method is able to reduce the error rate at weak classifier number and high number training samples. Bottom of Form

References
  1. Charles A. Goldthwaite, Jr. , " Are Stem Cells Involved in-Cancer?", http://stemcells. nih. gov/info/2006report/2006chapter9. htm, Accessed Jan. 22, 2012.
  2. National Cancer Institute. Surveillance Epidemiology and End Results: SEER stat fact sheets. http://seer. cancer. gov/data/. Accessed February 15, 2009.
  3. American Cancer Society. Cancer Facts & Figures 2008. http://www. cancer. org/downloads/STT/2008CAFF finalsecured. pdf. Accessed February 15, 2009.
  4. Feinberg AP, Ohlsson R, Henikoff S. The epigenetic progenitor origin of human cancer. Rev Genet. 2006; 7:21–33.
  5. Jones PA, Baylin SB. The epigenomics of cancer. Cell. 2007;128:683–692.
  6. Slamon DJ, Leyland-Jones B, Shak S, et al. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N Engl J Med. 2001;344:783–792.
  7. Silvestri GA, Rivera MP. Targeted therapy for the treatment of advanced non-small cell lung cancer: a review of the epidermal growth factor receptor antagonists. Chest. 2005;128:3975–3984.
  8. Sherbenou DW, Druker BJ. Applying the discovery of the Philadelphia chromosome. J Clin Invest. 2007; 117:2067–2074.
  9. Hedge SR, Sun W, Lynch JP. Systemic and targeted therapy for advanced colon cancer. Expert Rev Gastroenterol Hepatol. 2008;2:135–149.
  10. Croker AK, Allan AL. Cancer stem cells: implications for the progression and treatment of metastatic disease. J Cell Mol Med. 2008;12:374–390.
  11. Gil J, Stembalska A, Pesz KA, Sasiadek MM. Cancer stem cells: the theory and perspectives in cancer therapy. J App Genet. 2008;49:193–199.
  12. Reya T, Morrison SJ, Clarke MF, Weissman IL. Stem cells, cancer, and cancer stem cells. Nature. 2001;414:105–111.
  13. Clarke MF, Dick JE, Dirks PB, et al. Cancer Stem Cells—Perspectives on Current Status and Future Directions: AACR Workshop on Cancer Stem Cells. Cancer Res. 2006; 66:9339–9344.
  14. Rapp UR, Ceteci F, Schreck R. Oncogene-induced plasticity and cancer stem cells. Cell Cycle. 2008;7:45–51.
  15. Lapidot T, Sirard C, Vormoor J, et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature. 1994;367:645–648.
  16. Huntly BJP, Gilliland DG. Leukemia stem cells and the evolution of cancer stem cells. Nat Rev Cancer. 2005;5:311–321.
  17. Bonnet D, Dick JE. Human myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell. Nat Med. 1997;3:730–737.
  18. Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF. Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci USA. 2003;100:3983–3988.
  19. O'Brien CA, Pollett A, Gallinger S, Dick JE. A human colon cancer cell capable of initiating tumour growth in immunodeficient mice. Nature. 2007;445:106–110.
  20. Singh SK, Hawkins C, Clarke ID, et al. Identification of human brain tumor initiating cells. Nature. 2004; 432:396–401.
  21. Li C, Heidt DG, Dalerba P, et al. Identification of pancreatic cancer stem cells. Cancer Res. 2007;67:1030–1037.
  22. Hermann PC, Huber SL, Herrler T, et al. Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer. Cancer Stem Cell. 2007;1:313–323.
  23. Ye F, Zhou C, Cheng Q, Shen J, Chen H. Stem-cell abundant proteins Nanog, Nucleostemin and Musashi1 are highly expressed in malignant cervical epithelial cells. BMC Cancer. 2008;8:108.
  24. Yu J, Vodyanik MA, Smuga-Otto K, et al. Induced pluripotent stem cell lines derived from human somatic cells. Science. 2007;318:1917–1920.
  25. Takahashi K, Tanabe K, Ohnuki M, et al. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell. 2007;131:1–12.
  26. Allan AL, Vantyghem SA, Tuck AB, Chambers AF. Tumor dormancy and cancer stem cells: implications for the biology and treatment of breast cancer metastasis. Breast Dis. 2007;26:87–98.
  27. Li F, Tiede B, Massague J, Kang Y. Beyond tumorigenesis: cancer stem cells in metastasis. Cell Res. 2007;17:3–14.
  28. Kucia M, Ratajczak MZ. Stem cells as a two-edged sword—from regeneration to tumor formation. J Physiol Pharmacol. 2006;57:5–16.
  29. Luzzi KJ, MacDonald IC, Schmidt EE, et al. Multistep nature of metastatic inefficiency: dormancy of solitary cells after successful extravasation and limited survival of early micrometastases. Am J Pathol. 1998;153:865–873.
  30. Katya Simeonova, Ganka Milanova, " Stem cell: from basic theoretical assumptions and mathematical concepts to the computational models", Simeonova and Milanova BMC Proceedings 2011, 5(Suppl 8):P108 http://www. biomedcentral. com/1753-6561/5/S8/P108.
  31. Xindong Wu • Vipin Kumar et al , " Top 10 algorithms in data mining", Knowl Inf Syst (2008) 14:1–37 DOI 10. 1007/s10115-007-0114-2
  32. Roy A. Maxion and Kymic M. C. Tan, "Anomaly Detection in Embedded Systems" IEEE Transactions on computers,vol. 51,No. 2,pp. 108-120 Feb. 2002
Index Terms

Computer Science
Information Sciences

Keywords

cancer stem cells adaboost algorithm Stide detector Data mining prediction medical algorithms

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