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ORCIDICCBB 2018: Bari, Italy
- Proceedings of the 2nd International Conference on Computational Biology and Bioinformatics, ICCBB 2018, Bari, Italy, October 11-13, 2018. ACM 2018, ISBN 978-1-4503-6552-9
Biotechnology and Information Medicine
- Isabela Roxana Birs
, Cristina I. Muresan, Silviu Folea, Ovidiu Prodan, Clara M. Ionescu:
Fractional Order Modeling and Control of a Carrier Prototype for Targeted Drug Delivery. 1-5 - Rafia Ghoul, Jing He, Sana Djaidja, As-Shareef Ebrahim:
A Simple SIR Mathematical Model of Malaria Transmission with the Efficacy of the Vaccine. 6-11 - Zhiqi Zhang:
Knowledge, Attitudes and Practices Towards Seasonal Influenza and Vaccine among Private High School Students in Connecticut. 12-17 - Manish Aggarwal, Madasu Hanmandlu:
Properties for Hesitant Information Sets. 18-21 - Da Eun Lee, Taeseon Yoon:
Analysis of High-Risk Human Papillomavirus Using Decision Tree and Apriori Algorithm. 22-26 - Abel Kristanto Widodo, Anas Fadli A. Rahmawan, Manik Mahachandra:
Ergonomic Pillow for Indonesian Anthropometry: A Project Pilot Study. 27-31 - Md. Monir Hossain, Ataul Haque, Sayeda Zannatul Sakina Mazid, Abira Khan, Tomalika Rahmat Ullah, Sarker T. Ahmed Rumee, Jesmin:
Snake Venom Database (SVDB): A Potential Resource for Complementary & Alternative Medicine and Drug Designing. 32-36 - Zehao Zeng, Qinqin Wu, Bin He, Bin Zeng:
Genome-Wide Analysis of the Cytochromes P450 Gene Family in Aspergillus Oryzae. 37-41
Bioinformatics and Computational Biology
- Kolyo Z. Onkov, Georgios K. Tegos:
Computational Techniques for Analysis of Spatial Time Series on Fish Species Catch Quantity in Greece. 42-46 - Kefaya Qaddoum:
Looking at Alzheimer's Disease Using Enhanced Algorithm for Feature Collection. 47-50 - Handan Kulan, Tamer Dag:
Using Machine Learning Classifiers to Identify the Critical Proteins in Down Syndrome. 51-54 - Daniyah A. Aloqalaa, Jenny A. Hodgson, Dariusz R. Kowalski, Prudence W. H. Wong:
Estimating Invasion Time in Real Landscapes. 55-62 - Tianqin Li, Mingzhe Hu, Liao Zhang:
Using the SVM Method for Lung Adenocarcinoma Prognosis Based on Expression Level. 63-66 - Zhangjun Li, Cuiwei Yang, Qingzhou Zhang:
Noninvasive Prediction of Atrial Fibrillation Recurrence Based on a Deep Learning Algorithm. 67-71 - Soumiya Hamena, Souham Meshoul:
Deep Neural Network for Classification and Prediction of Oxygen Binding Proteins. 72-77 - Floriano Scioscia, Michele Ruta, Eugenio Di Sciascio:
From Biosignals to Affective States: a Semantic Approach. 78-83
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