IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences最新文献_第6页

Pairing T Cell Receptor α and β sequences using pooling and min-cost flows 使用池和最小成本流配对T细胞受体α和β序列

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2016-10-01 DOI: 10.1109/ICCABS.2016.7802789

Tyler Daddio, I. Măndoiu

引用次数: 0

Phylogenetic uncertainty and transmission network inference: Lessons from phylogenetic reconciliation 系统发育的不确定性和传递网络推断:来自系统发育调和的教训

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2016-10-01 DOI: 10.1109/ICCABS.2016.7802785

Mukul S. Bansal

引用次数: 0

Multicore and GPU Algorithms for Nussinov RNA Folding. Nussinov RNA折叠的多核和GPU算法。

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2013-01-01 DOI: 10.1109/ICCABS.2013.6629204

Junjie Li, Sanjay Ranka, Sartaj Sahni

引用次数: 0

The use of graph matching algorithms to identify biochemical substructures in synthetic chemical compounds: Application to metabolomics. 使用图匹配算法识别合成化合物中的生化亚结构:在代谢组学中的应用。

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2012-02-01 DOI: 10.1109/ICCABS.2012.6182637

Mai Hamdalla, David Grant, Ion Mandoiu, Dennis Hill, Sanguthevar Rajasekaran, Reda Ammar

{"title":"The use of graph matching algorithms to identify biochemical substructures in synthetic chemical compounds: Application to metabolomics.","authors":"Mai Hamdalla, David Grant, Ion Mandoiu, Dennis Hill, Sanguthevar Rajasekaran, Reda Ammar","doi":"10.1109/ICCABS.2012.6182637","DOIUrl":"https://doi.org/10.1109/ICCABS.2012.6182637","url":null,"abstract":"Metabolomics is a rapidly growing field studying the small-molecule metabolite profile of a biological organism. Studying metabolism has a potential to contribute to biomedical research as well as drug discovery. One of the current challenges in metabolomics is the identification of unknown metabolites as existing chemical databases are incomplete. We present a novel way of utilizing known mammalian metabolites in an effort to identify unknown ones. The system relies on a mammalian scaffolds database to aid the classification process. The results show that 96% of the mammalian compounds were identified as truly mammalian in a leave-one-out experiment. The system was also tested with a random set of synthetic compounds, downloaded from ChemBridge and ChemSynthesis databases. The system was able to eliminate 54% of the set, leaving 46% of the compounds as potentially unknown mammalian metabolites.","PeriodicalId":89933,"journal":{"name":"IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences","volume":"2012 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICCABS.2012.6182637","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34138728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Pairwise Sequence Alignment for Very Long Sequences on GPUs. gpu上超长序列的成对序列对齐。

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2012-01-01 DOI: 10.1109/ICCABS.2012.6182641

Junjie Li, Sanjay Ranka, Sartaj Sahni

引用次数: 22

PMS6: A Fast Algorithm for Motif Discovery. PMS6：一种快速的动机发现算法。

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2012-01-01 DOI: 10.1109/ICCABS.2012.6182627

Shibdas Bandyopadhyay, Sartaj Sahni, Sanguthevar Rajasekaran

引用次数: 0

Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach. 基于局部主成分分析的曲线演化:分而治之方法。

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2011-11-06 DOI: 10.1109/ICCV.2011.6126469

Vikram Appia, Balaji Ganapathy, Anthony Yezzi, Tracy Faber

{"title":"Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach.","authors":"Vikram Appia, Balaji Ganapathy, Anthony Yezzi, Tracy Faber","doi":"10.1109/ICCV.2011.6126469","DOIUrl":"https://doi.org/10.1109/ICCV.2011.6126469","url":null,"abstract":"We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divisions) in an image and then combines these locally accurate segmentation curves to obtain a global segmentation. The training data for our approach consists of training shapes and associated auxiliary (target) masks. The masks indicate the various regions of the shape exhibiting highly correlated variations locally which may be rather independent of the variations in the distant parts of the global shape. Thus, in a sense, we are clustering the variations exhibited in the training data set. We then use a parametric model to implicitly represent each localized segmentation curve as a combination of the local shape priors obtained by representing the training shapes and the masks as a collection of signed distance functions. We also propose a parametric model to combine the locally evolved segmentation curves into a single hybrid (global) segmentation. Finally, we combine the evolution of these semilocal and global parameters to minimize an objective energy function. The resulting algorithm thus provides a globally accurate solution, which retains the local variations in shape. We present some results to illustrate how our approach performs better than the traditional approach with fully global PCA.","PeriodicalId":89933,"journal":{"name":"IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences","volume":"2011 ","pages":"1981-1986"},"PeriodicalIF":0.0,"publicationDate":"2011-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICCV.2011.6126469","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32918577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13