2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)最新文献_第6页

Implementation of regularized Markov clustering algorithm on protein interaction networks of schizophrenia's risk factor candidate genes 正则马尔可夫聚类算法在精神分裂症危险因子候选基因蛋白相互作用网络中的实现

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872726

Rizky Ginanjar, A. Bustamam, H. Tasman

{"title":"Implementation of regularized Markov clustering algorithm on protein interaction networks of schizophrenia's risk factor candidate genes","authors":"Rizky Ginanjar, A. Bustamam, H. Tasman","doi":"10.1109/ICACSIS.2016.7872726","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872726","url":null,"abstract":"Schizophrenia has been suffered by over 21 million people worldwide. Genetic and environmental issues are one of the contributing factors in the development of this disease. Some research shown that several related genes may increase the risk of this disease. Candidate genes that obtained from several research turns up linked in a large network of protein-protein interaction (PPI). Therefore, it is necessary to study the PPI network of the candidate genes. Regularized Markov Clustering Algorithm (RMCL) is a graph clustering method which is the modification of Markov Clustering Algorithm (MCL). RMCL process that is built using R programming language is applied to PPI networks of schizophrenias risk factors candidate genes data obtained from BioGRID database. RMCL algorithm simulation performed with different parameter of inflation. Then, the results of RMCL algorithm simulation is compared to MCL algorithm simulation with the same parameters. RMCL algorithm provides results in the form of overlapping clusters, which mean there are relation between clusters. Thus, based on the results of RMCL algorithm simulation, there are relation between protein clusters of several candidate genes, one of which is the relation of NRG1 and CACNG2 gene product.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130655792","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: 14

Supporting factors of sellers' reputation in e-marketplace: A case of Indonesia 电子市场中卖家声誉的支持因素:以印尼为例

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872778

Niea Kumia Fajar, P. Sandhyaduhita

引用次数: 4

Implementation of weighted parallel hybrid recommender systems for e-commerce in Indonesia 印度尼西亚电子商务加权并行混合推荐系统的实现

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872772

Mustika Aprilianti, Rahmad Mahendra, I. Budi

引用次数: 9

Formulating e-business strategy for branchless banking: A case of a bank in Indonesia 制定无网点银行的电子商务战略:以印尼某银行为例

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872769

Yuan Hanif Syaniardi, M. R. Shihab

引用次数: 1

Ischemic stroke identification based on EEG and EOG using ID convolutional neural network and batch normalization 基于ID卷积神经网络和批归一化的脑电和眼电脑卒中识别

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872780

Endang Purnama Giri, M. I. Fanany, A. M. Arymurthy

{"title":"Ischemic stroke identification based on EEG and EOG using ID convolutional neural network and batch normalization","authors":"Endang Purnama Giri, M. I. Fanany, A. M. Arymurthy","doi":"10.1109/ICACSIS.2016.7872780","DOIUrl":"https://doi.org/10.1109/ICACSIS.2016.7872780","url":null,"abstract":"In 2015, stroke was the number one cause of death in Indonesia. The majority type of stroke is ischemic. The standard tool for diagnosing stroke is CT-Scan. For developing countries like Indonesia, the availability of CT-Scan is very limited and still relatively expensive. Because of the availability, another device that potential to diagnose stroke in Indonesia is EEG. Ischemic stroke occurs because of obstruction that can make the cerebral blood flow (CBF) on a person with stroke has become lower than CBF on a normal person (control) so that the EEG signal have a deceleration. On this study, we perform the ability of ID Convolutional Neural Network (1DCNN) to construct classification model that can distinguish the EEG and EOG stroke data from EEG and EOG control data. To accelerate training process our model we use Batch Normalization. Involving 62 person data object and from leave one out the scenario with five times repetition of measurement we obtain the average of accuracy 0.86 (F-Score 0.861) only at 200 epoch. This result is better than all over shallow and popular classifiers as the comparator (the best result of accuracy 0.69 and F-Score 0.72). The feature used in our study were only 24 handcrafted feature with simple feature extraction process.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116513314","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: 51

Generative oversampling method (GenOMe) for imbalanced data on apnea detection using ECG data 基于心电数据的呼吸暂停检测数据不平衡的生成过采样方法(GenOMe)

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872805

H. Sanabila, Ilham Kusuma, W. Jatmiko

引用次数: 7

Design of keyboard input control for mobile application using Head Movement Control (HEMOCS) 基于头部运动控制(HEMOCS)的移动应用键盘输入控制设计

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872792

H. Tolle, Ismiarta Aknuranda, Mahardeka Tri Ananta, Komang Candra Brata, Hanifah Muslimah Az-zahra

引用次数: 3

Mobile-based expert system for human diet planning using optimum neighbor 基于移动的人类最优邻居饮食规划专家系统

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872802

Marji, D. Ratnawati

引用次数: 2

Accurate visual tracking by combining Bayesian and evolutionary optimization framework 结合贝叶斯与进化优化框架的精确视觉跟踪

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872795

G. Jati, A. A. Gunawan, W. Jatmiko, A. Febrian

引用次数: 1

The impact of interdependent self-construal towards intention to participate in social media photo/video contest campaign 相互依存的自我建构对参与社交媒体照片/视频竞赛活动意图的影响

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI: 10.1109/ICACSIS.2016.7872788

Ghaisani Kusumo Wardina, P. Sandhyaduhita

引用次数: 1