2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)最新文献_第10页

Data Exploration in Secondary Use of Healthcare Data 医疗数据二次使用中的数据探索

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBM.2011.129

Jian Wang

{"title":"Data Exploration in Secondary Use of Healthcare Data","authors":"Jian Wang","doi":"10.1109/BIBM.2011.129","DOIUrl":"https://doi.org/10.1109/BIBM.2011.129","url":null,"abstract":"Real world data sets (as opposed to data from randomized, controlled clinical trials) are becoming increasing available from the healthcare industry. Large databases from EMRs/EHRs, insurance claims, pharmacy records, disease registries etc present unique challenges when they are utilized to support pharmaceutical R&D activities. Such \"secondary use\" of healthcare data usually starts with an exploratory phase when the researcher takes a high-level view of the available data and starts to \"connect the dots\". Data exploration is a highly dynamic process: exploratory paths change frequently, sometimes converging, other times diverging, and often resulting in dead ends. Only a small subset of exploratory results end up being formally analyzed to derive quantitative insights. Because of this dynamic nature of data exploration, it is critical that researchers who generate hypotheses, the domain experts, can directly explore in the available data space. Data exploration on large healthcare data sets is often a bottleneck because these data sets tend to be poorly understood in terms of their quality, completeness, consistency, etc. We will discuss this emerging landscape, focusing on case studies to illustrate the powerful convergence of real-world data and technological advancements to help leverage this data.","PeriodicalId":6345,"journal":{"name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","volume":"43 1","pages":"658-658"},"PeriodicalIF":0.0,"publicationDate":"2011-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90476152","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

Analysis of relevant physicochemical properties in obligate and non-obligate protein-protein interactions 专性和非专性蛋白质相互作用的相关理化性质分析

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112397

M. Maleki, Md. Mominul Aziz, L. Rueda

引用次数: 13

A chi-square test for detecting multiple joint genetic variants in genome-wide association studies 在全基因组关联研究中检测多个联合遗传变异的卡方检验

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112457

Iksoo Huh, Sohee Oh, T. Park

引用次数: 5

A hybrid approach for hemorrhage segmentation in pelvic CT scans 骨盆CT扫描出血分割的混合方法

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112428

Pavani Davuluri, Jie Wu, Ashwin Belle, Charles Cockrell, Yang Tang, Kevin Ward, K. Najarian, R. H. Hargraves

引用次数: 2

Probabilistic Signal Network Models from Multiple Replicates of Sparse Time-Course Data 稀疏时程数据多重重复的概率信号网络模型

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBM.2011.78

Kristopher L. Patton, D. J. John, J. Norris

引用次数: 2

Identifying medicine bottles by incorporating RFID and video analysis 通过结合RFID和视频分析来识别药瓶

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112424

Faiz M. Hasanuzzaman, Yingli Tian, Qingshan Liu

引用次数: 6

Protein docking with information on evolutionary conserved interfaces 蛋白质与进化保守界面信息的对接

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112399

I. Hashmi, Bahar Akbal-Delibas, Nurit Haspel, Amarda Shehu

引用次数: 10

Module detection for bacteria based on spectral clustering of protein-protein functional association networks 基于蛋白质-蛋白质功能关联网络光谱聚类的细菌模块检测

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112415

Hongwei Wu, Yaming Lin, Fun Choi Chan, R. Alba-Flores

{"title":"Module detection for bacteria based on spectral clustering of protein-protein functional association networks","authors":"Hongwei Wu, Yaming Lin, Fun Choi Chan, R. Alba-Flores","doi":"10.1109/BIBMW.2011.6112415","DOIUrl":"https://doi.org/10.1109/BIBMW.2011.6112415","url":null,"abstract":"Network analysis-based module detection has significant implications in many fields. In cellular/ molecular biology, module detection based on analyses of metabolic/regulatory networks will not only help us understand more about the function and evolution of cellular machinery of an organism, but will also provide tractable contextual information for potential drug targets and facilitate improvements in drug designs. We here present our preliminary study on the module detection for bacteria based on the spectral clustering of the protein-protein functional association networks. We first examined how the parameter of the spectral clustering algorithm (i.e., the number of clusters) affects our module detection results, and demonstrated that when the number of clusters was set too small or too large the resulting module collection deteriorate in terms of gene coverage and intra-module association. We then compared our predicted modules against the randomly generated modules, and demonstrated that our modules (i) have a higher ratio of the intra-module to inter-module gene-gene functional association scores and (ii) can better capture the modularization information inherent in the experimentally verified modules. Finally we compared the module collections of seven bacterial organisms, and observed that modules related to membrane transport and cell motility are among those that are conserved among multiple organisms. Because it is desirable from both scientific and technical points of view to study functional modules at various resolution levels, we believe that the spectral clustering algorithm, with the flexibility rendered by different parameter settings, provides an appropriate solution in terms of capturing the modularization properties of networks and computational affordability.","PeriodicalId":6345,"journal":{"name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","volume":"12 1","pages":"465-472"},"PeriodicalIF":0.0,"publicationDate":"2011-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76261021","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

Semi-automatic epilepsy spike detection from EEG signal using Genetic Algorithm and Wavelet transform 基于遗传算法和小波变换的脑电信号半自动癫痫峰检测

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112443

Zainab Haydari, Yanqing Zhang, H. Soltanian-Zadeh

引用次数: 14

An accurate and reliable method for automatic picking of HIV/SIV spikes 一种准确可靠的HIV/SIV刺突自动采集方法

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) Pub Date : 2011-11-12 DOI: 10.1109/BIBMW.2011.6112536

C. B. Mukherjee, H. Winkler, Xiuwen Liu, M. Dutta, K. Roux, K. Taylor

引用次数: 0