2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)最新文献_第4页

Detecting Cell Growth and Drug Response in Heterogeneous Populations: A Dynamic Imaging Approach 在异质人群中检测细胞生长和药物反应:一种动态成像方法

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.55

Chao Sima, Jianping Hua, Rosana Lopes, A. Datta, M. Bittner

引用次数: 2

Finding Influential Genes Using Gene Expression Data and Boolean Models of Metabolic Networks 利用基因表达数据和代谢网络布尔模型寻找有影响的基因

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.25

Takeyuki Tamura, T. Akutsu, Chun-Yu Lin, Jinn-Moon Yang

引用次数: 0

Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning 基于特征的脑MRI检索和无监督远程学习对阿尔茨海默病的诊断支持

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.52

B. Padovese, D. H. P. Salvadeo, D. C. G. Pedronette

{"title":"Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning","authors":"B. Padovese, D. H. P. Salvadeo, D. C. G. Pedronette","doi":"10.1109/BIBE.2016.52","DOIUrl":"https://doi.org/10.1109/BIBE.2016.52","url":null,"abstract":"Initial stages of Alzheimer's disease are easily confused with the normal aging process. Additionally, the methodology involved in the diagnosis by radiologists can be subjective and difficult to document. In this scenario, the development of accessible approaches capable of supporting the early diagnosis of Alzheimer's disease is crucial. Various approaches have been employed with this objective, specially using brain MRI scans. Although certain satisfactory accuracy results have been achieved, most of the approaches requires very specific pre-processing steps based on the brain anatomy. In this paper, we present a novel image retrieval approach for supporting the Alzheimer's disease diagnostic, based on general use features and unsupervised post-processing step. The brain MRI scans are processed and retrieved through general features without any pre-processing step. In the following, a rankbased unsupervised distance learning procedure is performed for improving the effectiveness of the initial results. Experimental results demonstrate that the proposed approach can achieve effective retrieval results, being suitable in aiding the diagnosis of Alzheimer's disease.","PeriodicalId":377504,"journal":{"name":"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"72 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":"121620519","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

An Integrative Analysis for Cancer Studies 癌症研究的综合分析

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.63

Hsi-Yuan Huang, Chien-Yu Lin, Chin-An Yang, Cheng-Mao Ho, Ya-Sian Chang, Jan-Gowth Chang

引用次数: 4

Establish Reporting Format of Gene Related Rare-Diseases by Exome Sequencing in the Clinical Medical Laboratory 建立临床医学实验室外显子组测序的基因相关罕见病报告格式

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.66

Cheng-Mao Ho, Hsi-Yuan Huang, Chin-An Yang, Ya-Sian Chang, Chien-Yu Lin, Jan-Gowth Chang

{"title":"Establish Reporting Format of Gene Related Rare-Diseases by Exome Sequencing in the Clinical Medical Laboratory","authors":"Cheng-Mao Ho, Hsi-Yuan Huang, Chin-An Yang, Ya-Sian Chang, Chien-Yu Lin, Jan-Gowth Chang","doi":"10.1109/BIBE.2016.66","DOIUrl":"https://doi.org/10.1109/BIBE.2016.66","url":null,"abstract":"Background: Next-generation sequencing (NGS) testing has two analytical processes, wet bench and bioinformatics process. Exome sequencing covers about 20000 human protein-coding gene sequences. Since these sequences are only 2% of human genome, but can predict 85% of human gene related diseases, whole exome sequencing is the most cost-effective test to diagnose unknown genetic diseases. Methods: Analysis methods developed by the Department of Laboratory Medicine of China Medical University Hospital (CMUH) with compliance of the molecular pathology checklists of the College of American Pathologists (CAP). Results: We developed the exome sequencing analysis workflow. First, single nucleotide polymorphism, SNP known with a minor allele frequency (MAF) >1%, was excluded. Second, variants other than SNP detected by NGS are submitted to the ClinVar database, which divided the relationships between variants and clinical significances into five categories: benign, likely benign, uncertain, likely pathogenic, and pathogenic. Third, all pathogenic variants, also confirmed by Sanger sequencing, might be current clinical relevance or incidental findings. Fourth, uncertain clinical significance variants with a MAF 30% were underwent further analysis by three pathogenicity predictions software: SIFT, PolyPhen, and CADD_PHRED. The final report from of exome sequencing contain sections of summary, clinical relevance (pathogenic), incidental finding (pathogenic), benign/likely benign, GWAS-related diseases, uncertain significance (including the results of three pathogenic software analysis), and the performance of the NGS platform. Conclusions: we demonstrated a reasonable working flow and a clinical practicable reporting format of exome sequencing by NGS.","PeriodicalId":377504,"journal":{"name":"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"116 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":"124057539","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

Respiration Monitoring through Thoraco-Abdominal Video with an LSTM 利用LSTM进行胸腹视频呼吸监测

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.37

V. Upadhya, Avishek Chatterjee, A. Prathosh, Pragathi Praveena

引用次数: 2

A Self-Confined Single-Cell Loading Platform Combining PDMS Mesh and Patterned Cytop for Non-invasive Studies of Single Cell Secretions 一种结合PDMS网和图案细胞顶的单细胞自封闭负载平台，用于单细胞分泌物的非侵入性研究

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.15

Yu-Jui Chiu, W. Cai, Yuesong Shi, Y. Lo

{"title":"A Self-Confined Single-Cell Loading Platform Combining PDMS Mesh and Patterned Cytop for Non-invasive Studies of Single Cell Secretions","authors":"Yu-Jui Chiu, W. Cai, Yuesong Shi, Y. Lo","doi":"10.1109/BIBE.2016.15","DOIUrl":"https://doi.org/10.1109/BIBE.2016.15","url":null,"abstract":"Single cell analysis provides information of individual cells that is lost in measurements of large cell populations. There is a growing demand on the capability of characterizing the properties of individual single cells. Since transient and temporal studies of single cells require continuous monitoring of the cell behaviors, an effective single-cell assay that can support time lapsed studies in a high throughput manner is highly desirable. Currently, most single-cell technology platforms do not provide optimal in vitro micro-environments to sustain cell growth yet allow continuous studies of single cell behaviors based on the quantitative analysis of their molecular marker signals. In this study, we present a highly versatile single-cell assay to accommodate different cellular types and culturing conditions and to allow studies of single cell responses to environmental factors. Our assay is non-invasive and can collect and survey single cell secretions at different time points. It provides a convenient, low-cost, and enabling tool to investigate single cell properties in a high-throughput manner, generating accurate temporal and quantitative information unachievable in other methods.","PeriodicalId":377504,"journal":{"name":"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"18 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":"126188190","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

Physical Model-Based Contrast Enhancement of Computed Tomography Images: Contrast Enhancement of Computed Tomography 基于物理模型的计算机断层扫描图像对比度增强:计算机断层扫描的对比度增强

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.39

Yi-Wen Chen, C. Shih, Hsin-Hon Lin, K. Chuang

{"title":"Physical Model-Based Contrast Enhancement of Computed Tomography Images: Contrast Enhancement of Computed Tomography","authors":"Yi-Wen Chen, C. Shih, Hsin-Hon Lin, K. Chuang","doi":"10.1109/BIBE.2016.39","DOIUrl":"https://doi.org/10.1109/BIBE.2016.39","url":null,"abstract":"Computed tomography (CT) can rapidly provide high-resolution cross-section images for clinical diagnosis. The image contrast of the CT strongly influences the visibility of lesions in the images. However, the low material-dependent characteristic of the Compton scattering (CS) lowers the image contrast. In this study, a novel physical model-based method was proposed to enhance the contrast of CT images. At first, relationships between CT number and tissue parameters were determined using the CT images and elemental composition of tissue equivalent rods. Then, the CT images to be enhanced were converted to tissue parameter maps using pre-determined relationships. By using a classical parametric fit model, partial attenuation images with enhanced image contrast can be calculated. A phantom CT image and an abdominal CT image were used to evaluate the performance of the proposed method. For the phantom CT image, the image contrast between rods and background solid water were enhanced. For the abdominal CT image, the visibility of a low-attenuation lesion in the right lobe of the liver was improved. In conclusion, the proposed method could be applied in clinical diagnosis to improve the visibility of CT images.","PeriodicalId":377504,"journal":{"name":"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"21 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":"129630635","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

A Comparison Study of Reverse Engineering Gene Regulatory Network Modeling 逆向工程基因调控网络模型的比较研究

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.73

Charles C. N. Wang, Pei-Chun Chang, P. Sheu, J. Tsai

引用次数: 0

Wide-Locking Range Divide-by-4 Injection-Locked Frequency Divider Using Dual-Resonance RLC Resonator for Biomedical Sensor Applications 应用于生物医学传感器的双共振RLC谐振器的宽锁定范围/ 4注射锁定分频器

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI: 10.1109/BIBE.2016.12

W. Lai, S. Jang, Ho Chang Lee, Shih-Jie Jian

引用次数: 0