Proceedings of the 5th International Conference on Bioinformatics Research and Applications最新文献_第2页

Genomic Comparison of Four Metapneumovirus Strains Using Decision Tree, Apriori Algorithm, ClustalW, and Phylogenetic Reconstruction 利用决策树、Apriori算法、聚类分析和系统发育重建对四种偏肺病毒株的基因组比较

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129.3309130

Sang-Ran Lim, Taeseon Yoon

{"title":"Genomic Comparison of Four Metapneumovirus Strains Using Decision Tree, Apriori Algorithm, ClustalW, and Phylogenetic Reconstruction","authors":"Sang-Ran Lim, Taeseon Yoon","doi":"10.1145/3309129.3309130","DOIUrl":"https://doi.org/10.1145/3309129.3309130","url":null,"abstract":"Human metapneumovirus has persistently been the leading causative agent of acute respiratory infections in young children and the elderly worldwide. The respiratory tract illness caused by HMPV yields fatal levels of morbidity and mortality rate in young children under five and the immunocompromised. To study the genetic structure of HMPV, this paper conducts a genomic analysis of the nine genes (N, P, M, F, M2-1, M2-2, SH, G, and L) of human metapneumovirus subtype A1, A2, B1, and B2. Through multiple sequence alignments, decision tree, Apriori algorithm, and phylogenetic reconstruction, this paper investigates the genome-wise discrepancy and the protein-wise discrepancy between different HMPV strains. The results of the experiment indicate that the four HMPV subtypes show high similarity while displaying distinct attributes. The role of glycoprotein (G) and small hydrophobic protein (SH) are found to display the most variance among the four subtypes. The Apriori algorithm shows that amino acid serine and lysine are the most frequent among the four subtypes. Under Apriori algorithm 19 window, it has been found that the four subtypes display some degree of similarity in terms of their frequencies of the amino acid lysine(K). On the other hand, two clades of HMPV seem to split in terms of their frequencies of the amino acid serine(S). Hence, the role of glycoprotein and small hydrophobic protein and the contribution of amino acids serine and lysine to the nine polypeptides are suggested as a future research.","PeriodicalId":326530,"journal":{"name":"Proceedings of the 5th International Conference on Bioinformatics Research and Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125958475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Graph Clustering Based Size Varying Rules for Lifelong Topic Modeling 基于图聚类的终身主题建模大小变化规则

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129.3309146

Muhammad Taimoor Khan, S. Khalid, Furqan Aziz

{"title":"Graph Clustering Based Size Varying Rules for Lifelong Topic Modeling","authors":"Muhammad Taimoor Khan, S. Khalid, Furqan Aziz","doi":"10.1145/3309129.3309146","DOIUrl":"https://doi.org/10.1145/3309129.3309146","url":null,"abstract":"Lifelong learning topic models identify the hidden concepts discussed in the collection of documents. The concepts are represented as topics having groups of ordered words based on their relevance to the topic. Lifelong learning models have an automatic learning mechanism which allows continuous learning without external support. In the process, the model gets more knowledgeable with experience as it learns from the past in the form of rules. It is carries rules to the future and utilize them when a similar scenario arises. The existing lifelong learning topic models heavily rely on statistical measures to learn rules that leads to two limitations. The rules are evaluated for fixed number of words while ignoring the natural arrangement of words within the documents. Moreover, the rules have arbitrary orientation that causes repeated patterns of transferring the impact of a rule into a topic during the early iterations of the inference technique. In this research work, we introduce complex networks analysis for learning rules which addresses both of the limitations discussed. The rules are obtained through hierarchical clustering of the complex network that have different number of words within a rule and have directed orientation. The proposed approach improves the utilization of rules for improved quality of topics at higher performance with unidirectional rules on the standard lifelong learning dataset.","PeriodicalId":326530,"journal":{"name":"Proceedings of the 5th International Conference on Bioinformatics Research and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127010324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation on Heat and Mass transfer in a Dialyzer Membrane Model for the Development of Dialysate Temperature Controller 透析液温控器开发中透析膜传热传质模型的研究

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129.3309135

Mohamed Haroon Abdul Jabbar, S. Shanmugam, P. Khiew

{"title":"Investigation on Heat and Mass transfer in a Dialyzer Membrane Model for the Development of Dialysate Temperature Controller","authors":"Mohamed Haroon Abdul Jabbar, S. Shanmugam, P. Khiew","doi":"10.1145/3309129.3309135","DOIUrl":"https://doi.org/10.1145/3309129.3309135","url":null,"abstract":"During standard hemodialysis (HD), there is tendency for a rise in body temperature, which can possibly cause life-threatening complications. The analysis of thermal energy exchange in a dialyzer can be significant to provide constant body temperature, which can necessitate the development of an effective temperature controller. In this paper, the main aim is to evaluate the heat transfer that takes place in a dialyzer model during HD and a Polyflux 210H dialyzer membrane model was developed using COMSOL Multiphysics® software. The clearance rate of toxins was computed and validated for various blood flow rates. Then the heat transfer physics was added to investigate the effect of heat transfer taking place in the dialyzer. The clearance rates show significant improvement (<5% error) compared to previous published work (>11.7% error) and a strong agreement with the manufacturer's data. The model exhibited a trend in temperature profile across the dialyzer membrane and the blood temperature has decreased up to 1.15°C using cool dialysate settings. The dialyzer acts as a heat exchanger during HD. Our study reveals the temperature changes taking place in the dialyzer, which necessitates a system to control and regulate the dialysate temperature to compensate for this heat loss.","PeriodicalId":326530,"journal":{"name":"Proceedings of the 5th International Conference on Bioinformatics Research and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Screening Feasibility and Comparison of Deep Artificial Neural Networks Algorithms for Classification of Skin Lesions 深度人工神经网络算法在皮肤病变分类中的筛选可行性及比较

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129.3309137

A. Santos, R. M. Sousa, M. Bianchi, Leandro Lima da Silva, E. Cordioli

{"title":"Screening Feasibility and Comparison of Deep Artificial Neural Networks Algorithms for Classification of Skin Lesions","authors":"A. Santos, R. M. Sousa, M. Bianchi, Leandro Lima da Silva, E. Cordioli","doi":"10.1145/3309129.3309137","DOIUrl":"https://doi.org/10.1145/3309129.3309137","url":null,"abstract":"Deep convolutional neural networks (CNNs) have proven its potential for many tasks related to object identification and classification. This study aims to show the performance of several convolutional neural networks architectures applied to the diagnosis and screening of skin lesions in patients using different training techniques: Random weights initialization, feature extraction and extending model. A dataset of 1000 clinical images proven by biopsy or consensus among specialists were the examples applied at the various architectures which were end-to-end trained from images directly, using only pixels and disease labels as inputs. The predictions provided from the models intended to claim whether the lesion could be treated by doctors with images only on a teledermatology approach or if it is necessary to prescribe a biopsy or referral to a face-to-face consultation. The model can also tell the urgency of the case and the group of diseases which that lesion belongs to. Performances of deep neural networks in all proposed tasks demonstrated that artificial intelligence has the potential to perform the screening of skin lesions with a level of competence comparable to dermatologists. It is projected 6.3 billion signatures of smartphone by the year 2021 [38]. Therefore, deep neural networks incorporated in mobile devices can amplify the reach of dermatologists outside their offices providing universal low-cost access to dermatological diagnostics.","PeriodicalId":326530,"journal":{"name":"Proceedings of the 5th International Conference on Bioinformatics Research and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121857854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of Viable Embryos Using Deep Learning for Medical Image 基于深度学习的医学图像存活胚胎识别

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129.3309143

Qiang Cao, S. Liao, Xiangqian Meng, Han Ye, Zhenbin Yan, Puxi Wang

引用次数: 11

Proceedings of the 5th International Conference on Bioinformatics Research and Applications 第五届生物信息学研究与应用国际会议论文集

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129

引用次数: 0

Skin Cancer Detection and Classification for Moles Using K-Nearest Neighbor Algorithm 基于k -最近邻算法的皮肤癌痣检测与分类

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129.3309141

N. Linsangan, J. Adtoon

引用次数: 12

Fermentation Level Classification of Cross Cut Cacao Beans Using k-NN Algorithm 基于k-NN算法的横切可可豆发酵水平分类

Proceedings of the 5th International Conference on Bioinformatics Research and Applications Pub Date : 2018-12-27 DOI: 10.1145/3309129.3309142

Randy E. Angelia, N. Linsangan

引用次数: 10