The 2018 2nd International Conference on Computational Biology and Bioinformatics (ICCBB 2018) was successfully held in Bari, Italy during October 11-13, 2018. With the supports of Polytechnic University of Bari and Hong Kong Chemical, Biological & Environmental Engineering Society (CBEES), the conference brought together researchers, engineers, academicians as well as industrial professionals from all over the world to share their experience and research findings in Computational Biology and Bioinformatics.
Proceeding Downloads
Fractional Order Modeling and Control of a Carrier Prototype for Targeted Drug Delivery
This paper tackles the field of applied control engineering in the nanomedical field, both in terms of modeling and control of the dynamics of a scalable robot transiting a vascular environment. An experimental fractional order model is obtained that ...
A Simple SIR Mathematical Model of Malaria Transmission with the Efficacy of the Vaccine
The main objective of this paper is to analyze dynamics of malaria disease transmission for the human and mosquito populations, by including the impact of malaria transmission from mother to baby before or during birth (vertical transmission) and ...
Knowledge, Attitudes and Practices Towards Seasonal Influenza and Vaccine among Private High School Students in Connecticut
Background: The United States suffered from its worst influenza season since 2009 during the winter of 2017-2018. High school is prone to influenza outbreak due to the high density of students and close social spaces. In order to understand the weak ...
Properties for Hesitant Information Sets
The concept of information sets is inspired by the way we perceive information source values. However, they lack a provision to represent the hesitancy inevitably associated with the perceived values. To this end, recently the concept of hesitant ...
Analysis of High-Risk Human Papillomavirus Using Decision Tree and Apriori Algorithm
Human Papillomaviruses (HPV) are small, nonenveloped, double-stranded DNA and function as pathogens that infect epithelial surfaces of humans and animals. Undetected and left not treated, HPV can develop into cervical cancer. This study aims to ...
Ergonomic Pillow for Indonesian Anthropometry: A Project Pilot Study
Sleep is a natural cycle for human for discharging fatigue and recovery process. To ensure a better sleep quality, we need a pillow that can suit our body part and bring comfortability, or called ergonomics pillow. However, in the developing countries, ...
Snake Venom Database (SVDB): A Potential Resource for Complementary & Alternative Medicine and Drug Designing
- Md. Monir Hossain,
- Ataul Haque,
- Sayeda Zannatul Sakina Mazid,
- Abira Khan,
- Tomalika Rahmat Ullah,
- Sarker T. Ahmed Rumee,
- Jesmin
Snake venom database (SVDB), an automated customized, subject specific, non-redundant generic data repository built to communicate with and extract all snake venom, toxins and venom components related information from millions of data that can be ...
Genome-Wide Analysis of the Cytochromes P450 Gene Family in Aspergillus Oryzae
Cytochromes P450 gene family has been shown to play significant roles in various physiological processes of Aspergillus oryzae, including the growth and development, abiotic and biotic stress responses and stress signaling. In this study, the members of ...
Computational Techniques for Analysis of Spatial Time Series on Fish Species Catch Quantity in Greece
This paper is based on a Multidimensional Fishery Time Series Database of Greece that stores spatial, biological, temporal, technical and economic data extracted from National Statistical Service of the country. Time series on fish species catch ...
Looking at Alzheimer's Disease Using Enhanced Algorithm for Feature Collection
Machine learning technology has taken substantial leaps in the past few years. From the rise of voice recognition as an interface to interact with our computers to self-organizing photo albums and self-driving cars. Neural networks and deep learning ...
Using Machine Learning Classifiers to Identify the Critical Proteins in Down Syndrome
Pharmacotherapies of intellectual disability (ID) are largely unknown as the abnormalities at the complex molecular level which causes ID are difficult to understand. Down syndrome (DS) which is the prevalent cause of ID and caused by an extra copy of ...
Estimating Invasion Time in Real Landscapes
Species are threatened by climate changes, unless their populations have the ability to invade landscapes to search for new regions of suitable climate and conditions. It is therefore of utmost importance for ecologists to estimate the invasion time, as ...
Using the SVM Method for Lung Adenocarcinoma Prognosis Based on Expression Level
Lung cancer is the deadliest cancer in the word, leading to over a quarter of death in the United States in 2017. Gaining precise information on cancer prognosis for patients would greatly benefit their decision making for further treatment plans. While ...
Noninvasive Prediction of Atrial Fibrillation Recurrence Based on a Deep Learning Algorithm
Atrial fibrillation (AF) is an abnormal heart rhythm. The goal of radiofrequency ablation for AF is to regain a normal heart rhythm. Presently, the commonly used algorithms for prediction of AF recurrence face constraints such as no flexible feature ...
Deep Neural Network for Classification and Prediction of Oxygen Binding Proteins
The accurate annotation of a protein function is important for understanding life at molecular level. Nowadays, powerful high throughput proteomics technologies provide an unprecedented understanding of the human biology and disease. These technologies ...
From Biosignals to Affective States: a Semantic Approach
The final goal of Affective Computing is in allowing to recognize human emotional states by means of automatic procedures. Despite scientific literature evidences the concrete usefulness of possible approaches based on biosignals analysis to detect and ...
Index Terms
- Proceedings of the 2018 2nd International Conference on Computational Biology and Bioinformatics