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H.A, E. - B., E. H, and E. MM, "efficacy of ivermectin closantel combination on camel parasites ", isocard, AlMAtY, 8-12JUNE, 2015.
H.A., D., "L-Arginine supplementation ameliorates oxidative injury in brain of streptozotocin – induced diabetic rats", The Arab Journal of Laboratory Medicine, vol. 35, issue 1, pp. 35-46, 2009.
H.A.Afify, M.M. El-Nahass, H.A.M.Ali, A. - S. Gadallah, and M. A. Khedr, "Carrier transpor tmechanisms and photodetector characteristics of Ag/TiOPc/p-si/A lhybrid heterojunction", Materials Science in Semiconductor Processing, vol. 39, pp. 324-331, 2015.
H.A.EL-MEZAEN, Faten.F.Mohammed, W. G. H. Shousha, A. A. Bahnssy, A. E. ABD EL-MONEM, S. A. GABR, and N. M. MESALAM, "protective effect of propolis (Bee Glue) in mice bearing Ehrlich ascites carcinoma", ISOTOP&RAD.RES.,, vol. 45, issue 1, pp. 91-107, 2013.
H.A.Elkaranshawy, E. H. E. Bayoumi, and H. M. Soliman, "Robust Control of a Flexible Arm Robot using Kharitonov Theorem and Swarm Intelligence", Electromotion. , vol. 18, pp. 98-108, 2009.
H.A.Elkaranshawy, E.H.E.Bayoumi, and H. M. Soliman, "PSO-Based Robust PID Control for Flexible Manipulator Systems", The International Journal of Modeling, Identification and Control, , vol. 14, issue 1/2, pp. 1-12, 2011.
H.A.Farghali, N.A. AbdElKader, M. S. Khattab, and H.O. AbuBakr, "Novel approach to gastric mucosal defect repair using fresh amniotic membrane allograft in dogs (experimental study).", Stem cell Research & Therapy. , vol. 8, issue 235., 2017.
H.A.Hassan, M. B. Abdelhalim, and A.Badr, ". Prediction of O-Glycosylation Sites in Proteins using PSO-Based Data Balancing and Random Forest", Life Science Journal, vol. 11, pp. 1019-1025, 2014. Abstract

O-glycosylation of mammalian proteins is one of the most important post-translational modifications (PTMs). Hence, there is significant interest in the development of computational methods for reliable prediction of O-Glycosylation sites from amino acid sequences. One particular challenge in training the classifiers comes from the fact that the available dataset is highly imbalanced, which makes the classification performance for the minority class becomes unsatisfactory. Traditional sampling approaches generally rely on random re-sampling from a given dataset. However, these methods cannot utilize all the information available in the training set and it increases the false positive rate. This paper proposes a new approach for predicting the O-glycosylation sites which is based on Particle Swarm optimization (PSO) and Random Forest (RF). PSO is used as evolutionary under-sampling technique for balancing the dataset, and Random Forest is used as a classifier. The results obtained from the proposed approach and other related researches, demonstrate that the proposed approach outperforms the performance of other approaches for the experimented dataset.

H.A.Hassan, A.Badr, and M. B. Abdelhalim, "Prediction of O-glycosylation Sites Using Random Forest and GA-Tuned PSO Technique", Bioinformatics and Biology Insights, vol. 9, pp. 103–109, 2015. Abstract

O-glycosylation is one of the main types of the mammalian protein glycosylation; it occurs on the particular site of serine (S) or threonine (T). Several O-glycosylation site predictors have been developed. However, a need to get even better prediction tools remains. One challenge in training the classifiers is that the available datasets are highly imbalanced, which makes the classification accuracy for the minority class to become unsatisfactory. In our previous work, we have proposed a new classification approach, which is based on particle swarm optimization (PSO) and random forest (RF); this approach has considered the imbalanced dataset problem. The PSO parameters setting in the training process impacts the classification accuracy. Thus, in this paper, we perform parameters optimization for the PSO algorithm, based on genetic algorithm, in order to increase the classification accuracy. Our proposed genetic algorithm-based approach has shown better performance in terms of area under the receiver operating characteristic curve against existing predictors. In addition, we implemented a glycosylation predictor tool based on that approach, and we demonstrated that this tool could successfully identify candidate glycosylation sites in case study protein.

and H.A.Kaoud, M.A.Khalf, T. F. I. E. I. M., "Pro and Retrospective Epidemiological Situation of Avian Influenza in Egypt.", European Journal of Academic Essays , vol. 3, issue 7, pp. 254-259, 2016. ejae-1611-543.pdf
and H.A.Kaoud, T. F. I. M. A. K., "The Effect of Some Physical and Chemical Agents on the Infectivity of the Highly Pathogenic Avian Influenza Virus in Egypt", European Journal of Academic Essays, vol. 3, issue 7, pp. 267-271, 2016. ejae-1611-545.pdf
andT.F.Ismail H.A.Kaoud, Eman M. Ismaail, M. A. K., "Incidence of Silent AI Virus in Relation to Vaccination and Biosecurity Level in Some Broiler Farms of Egypt", European Journal of Academic Essays, vol. 3, issue 7, pp. 260-266, 2016. ejae-1611-544.pdf
H.A.Khater, M.M.Kamel, and T.I.Borham, "Maize yield as influenced by some plowing practices and fertilization", American-eurasian J.Agric.&Environ.Sci., vol. 12, issue 5, pp. 664-668, 2012. plowing.pdf
H.A.Mansour, S. H. El-Hanafy, and R.A.El-Ziat, "conocarpus erectus plants response to saline irrigation water and gibberllic acid treatments", international journal of acadimic research, vol. 2, issue 6, pp. 333-339, 2010.
H.A.Omar, A.S.Hassan, and E.K.Al-Hussaini, "Multi-user MIMO systems employing semidefinite relaxation of maximum likelihood detection", Journal of Engineering and Applied Science, vol. 58, issue 2, pp. 95-108, 2011.
H.A.Shehata, M.I.Dessouky, S. Yassein, and A.A.El-Sayed, "Studies on some blood and serum constituents in tuberculin negative and tuberculin positive cattle and buffaloes", Vet.Med.J, , vol. 35, issue 2, pp. 213 -224, 1987.
H.A.Shehata, A. A. Hegazy, M.I.Dessouky, S. El-Gibaly, and D. Amin, "Some clinicopathological studies on guinea pigs infected with Brucella abortus strain 544", Assiut Vet.Med.J, , vol. 4, issue 7, pp. 53-61, 1977.
H.A.Shehata, A. A. Hegazy, L.S.Fahmy, M.I.Dessouky, and M.O.Abd-El-Aal, "Studies on the immune mechanism of skin grafts in rabbits", Vet.Med.J, , vol. 30, pp. 1-17, 1982.
H.A.Y.Nada, I. N. El-Ebrashi, H.A.G.El-Din, and H. S. Ael- A. Assal, Diagnostic value of urinary Smad1 in diabetic nephropathy patients, , Cairo, Cairo, 2016.
H.Abdel-Wahed, A., E. E. Khalil, and M. A. Ibrahim, "Numerical Simulation of Ventilated Archeological Tomb of Horemheb, Valley of The Kings, Luxor,", IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), vol. 13, issue 3 ,May-June,, pp. 51-59, 2016.