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| 1 | Examining the Effect of Mercerization Process Applied Under Different Conditions via the Degree of White- ness and Color Efficiency 显示文摘 | Rerazi Gemci Cafer Cebieei | 2011 | Journal of Applied Polymer Science2011，121，： | 1 |
| 2 | Porstacyclin synthase expression is decerased in lungs from patients with severe pulmonary hypertension显示文摘 | Tuder RM Cool CD Gemci MW | 1999 | Am J Respir Crit Care Med1999，159，6： | 1 |
| 3 | Computational simulations of airflow in an in vitro model of the pediatric upper airways显示文摘 | Allen GM Shortall BP Gemci T | 2004 | Journal of Biomechanical Engineering2004，126，5： | 1 |
| 4 | Experimental Study of Flash Atomization of Binary Hydrocarbon Liquids 显示文摘 | Gemci T Yakut K | 2004 | International Journal of Multiphase Flow2004，30，： | 1 |
| 5 | Computational simulations of airflow in an In vitro model of the pediatric upper airways显示文摘 | Allen GM Shortall BP Gemci T | 2004 | Journal of Biomechanical Engineering2004，126，5： | 1 |
| 6 | Computational simulations of airflow in an in vitro model of the pediatric upper airways 显示文摘 | ALLEN G M SHORTALL B P GEMCI T | 2004 | Journal of Biomechanical Engineering2004，126，5： | 1 |
| 7 | Computational simulations of airflow in an in vitro model of the pediatric upper airways显示文摘 | ALLEN G M SHORTALL B P GEMCI T | 2004 | J Biomech Eng2004，126，5： | 1 |
| 8 | tabine Versue the combination of cisplatin and etoposide in patients with inoperable non-small-cell lung cancer in a phase random-ized study显示文摘 | Chen Ym Mmg J Gemci | 1997 | J clin onco11997，15，5： | 1 |
| 9 | Physi-cal and mechanical properties of mortars withoutcement 显示文摘 | Binici Hanifi Gemci Remzi Kaplan Hasan | 2012 | Construction and Building Materials2012，28，1： | 1 |
| 10 | Digital field programmable gate array-based lock-in amplifier for high-performance photon counting applications显示文摘 | Restelli A Abbiati R Gemci A | 2005 | Review of scientific instruments2005，76，： | 1 |
| 11 | Deep Learning Algorithm for Detection of Protein Remote Homology显示文摘The study aims to find a successful solution by using computer algorithms to detect remote homologous proteins,which is a significant problem in the bioinformatics field.In this experimental study,structural classification of proteins(SCOP)1.53,SCOP benchmark,and the newly created SCOP protein database from the structural classification of proteins—extended(SCOPe)2.07 were used to detect remote homolog proteins.N-gram method and then Term Frequency-Inverse Document Frequency(TF-IDF)weighting were performed to extract features of the protein sequences taken from these databases.Next,a smoothing process on the obtained features was performed to avoid misclassification.Finally,the proteins with balanced features were classified into remote homologs using the built deep learning architecture.As a result,remote homologous proteins have been detected with novel deep learning architecture using both negative and positive protein instances with a mean accuracy of 89.13%and a mean relative operating characteristic(ROC)score of 88.39%.This experiment demonstrated the following:1)The successful outcome of this study in detecting remote homology is auspicious in discovering new proteins and thus in drug discovery in medicine.2)Natural language processing(NLP)techniques were used successfully in bioinformatics,3)the importance of choosing the correct n-value in the n-gram process,4)the necessity of using not only positive but negative instances in a classification problem,and 5)how effective the processes,such as smoothing,are in the classification accuracy in an imbalanced dataset.6)The deep learning architecture gives better results than the support vector machine(SVM)model on the smoothed data to detect proteins’remote homology. | Fahriye Gemci Turgay Ibrikci Ulus Cevik | 2023 | Computer Systems Science & Engineering2023，46，9： | 0 |
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