2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops最新文献_第7页

A data aggregation framework for cancer subtype discovery 癌症亚型发现的数据聚合框架

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470250

S. N. Nagabhushan, T. Ahn, M. Srikanth, T. Park, Ajit S. Bopardikar, R. Narayanan

{"title":"A data aggregation framework for cancer subtype discovery","authors":"S. N. Nagabhushan, T. Ahn, M. Srikanth, T. Park, Ajit S. Bopardikar, R. Narayanan","doi":"10.1109/BIBMW.2012.6470250","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470250","url":null,"abstract":"Personalized genomic medicine aims to revolutionize healthcare by applying our growing understanding of the molecular basis of disease for effective diagnosis and personalized therapy. Computational research in this arena has major challenges such as handling large volume of highly heterogeneous data sets. To extract knowledge, researchers must integrate data from several sources and efficiently query these large and diverse data sets. This presents daunting informatics challenges such as suitable data representation for computational inference (knowledge representation), linking heterogeneous data sets (data integration) and keeping track of the source of the data to be aggregated. Many of these challenges can be categorized as data integration problems. In this paper, we present relevant methodologies from the field of data integration as potential solution for such challenges encountered by computational biologist while handling diversified data. The work presented in the paper represents the first crucial step towards identifying cancer biomarkers leading to cancer pathways signatures and personalized medicine.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"1 1","pages":"844-846"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91132374","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

Early classification of multivariate time series using a hybrid HMM/SVM model 基于HMM/SVM混合模型的多变量时间序列早期分类

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBM.2012.6392654

Mohamed F. Ghalwash, Dusan Ramljak, Z. Obradovic

{"title":"Early classification of multivariate time series using a hybrid HMM/SVM model","authors":"Mohamed F. Ghalwash, Dusan Ramljak, Z. Obradovic","doi":"10.1109/BIBM.2012.6392654","DOIUrl":"https://doi.org/10.1109/BIBM.2012.6392654","url":null,"abstract":"Early classification of time series has been receiving a lot of attention as of late, particularly in the context of gene expression. In the biomédical realm, early classification can be of tremendous help, by identifying the onset of a disease before it has time to fully take hold, or determining that a treatment has done its job and can be discontinued. In this paper we present a state-of-the-art model, which we call the Early Classification Model (ECM), that allows for early, accurate, and patient-specific classification of multivariate time series. The model is comprised of an integration of the widely-used HMM and SVM models, which, while not a new technique per se, has not been used for early classification of multivariate time series classification until now. It attained very promising results on the datasets we tested it on: in our experiments based on a published dataset of response to drug therapy in Multiple Sclerosis patients, ECM used only an average of 40% of a time series and was able to outperform some of the baseline models, which needed the full time series for classification.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"189 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75072371","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: 34

Discovery at a distance: Farther journeys in predication space 远方的发现:预测空间中更远的旅程

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470307

T. Cohen, D. Widdows, R. Schvaneveldt, T. Rindflesch

引用次数: 16

CryoEM skeleton length estimation using a decimated curve 利用抽取曲线估计CryoEM骨架长度

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470283

Andrew McKnight, Kamal Al-Nasr, Dong Si, Andrey N. Chernikov, N. Chrisochoides, Jing He

引用次数: 2

Managing data provenance in genome project workflows 管理基因组计划工作流程中的数据来源

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470215

Renato de Paula, M. Holanda, M. E. Walter, Sérgio Lifschitz

引用次数: 3

A novel acupuncture for killing lumbago: Immediate effects of balancing acupuncture for acute lumbar disc herniation 一种治疗腰痛的新针灸:平衡针灸治疗急性腰椎间盘突出症的即时效果

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470356

Xiaohong Xu, Shudong Chen, Xiaoling Xu

{"title":"A novel acupuncture for killing lumbago: Immediate effects of balancing acupuncture for acute lumbar disc herniation","authors":"Xiaohong Xu, Shudong Chen, Xiaoling Xu","doi":"10.1109/BIBMW.2012.6470356","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470356","url":null,"abstract":"[Purpose] This study aimed to evaluate the immediate effects of Balancing acupuncture as adjuvant therapy for patients with acute lumbar disc herniation (ALDH). [Method] We recruited 47 patients with ALDH in Orthopedic therapy center of Guangdong Provincial Hospital of Chinese Medicine in China. McGill pain questionnaire (MPQ) and clinical effects of Balancing acupuncture were measured. [Results] We found that no case showed clinical cure, 42 cases showed improvement, while 5 cases showed ineffectiveness, indicating an improvement rate of 89.4%. Immediate MPQ total score after Balancing acupuncture was lower than before treatment, which showed a statistical significance between them (P=0.0000<;0.05). Differences in PRI, VAS, and PPI reached statistical significance (P<;0.05). A statistically significant difference was found in Pain perception score before and after treatment (P=0.0125<;0.05), while pain emotion score failed to reach statistical significance (P=0.6983>0.05). [Conclusions] The results suggested that Balancing acupuncture may lead to immediate benefits for patients with ALDH.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"43 1","pages":"437-440"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79925725","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

The mechanism of acupuncture for obsessive-complusive disorder on TCM heart-gallbladder concept 针刺治疗强迫症的中医心胆观机制探讨

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470328

Nipeng Lin, Changeai Xie, Xiaohong Xu, W. Fu

引用次数: 0

Joint clustering and alignment for nucleosome occupancy analysis 核小体占用分析的联合聚类和排列

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470269

Teng L. Liu, Yu Zhang, J. Dennis

引用次数: 0

Recognizing drosha processing sites by a two-step prediction model with structure and sequence information 基于结构和序列信息的两步预测模型识别drosha加工位点

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBM.2012.6392714

Xingchi Hu, Yanhong Zhou, Chuang Ma

引用次数: 1

Discussion on the improvement of the arteriovenous fistula surgeon's micrological technique 动静脉瘘外科医生显微技术改进的探讨

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops Pub Date : 2012-10-04 DOI: 10.1109/BIBMW.2012.6470336

K. Bao, Han-guo Peng, P. Su

引用次数: 0