2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)最新文献_第10页

A protein interaction verification system based on a neural network algorithm 基于神经网络算法的蛋白质相互作用验证系统

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.15

Min Su Lee, S. Park, Min Kyung Kim

引用次数: 9

Biological pathway prediction from multiple data sources using iterative Bayesian updating 基于迭代贝叶斯更新的多数据源生物路径预测

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.30

Corey Powell, Joshua M. Stuart

引用次数: 0

Artificial neural networks to predict daylily hybrids 预测黄花菜杂交品种的人工神经网络

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.24

R. Gosukonda, M. Naghedolfeizi, J. Carter

引用次数: 1

A comparison of particle swarms techniques for the development of quantitative structure-activity relationship models for drug design 粒子群技术在药物设计定量构效关系模型开发中的比较

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.5

W. Cedeño, D. Agrafiotis

引用次数: 14

Efficient image texture analysis and classification for prostate ultrasound diagnosis 高效图像纹理分析与分类用于前列腺超声诊断

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.58

M. A. Sheppard, L. Shih

{"title":"Efficient image texture analysis and classification for prostate ultrasound diagnosis","authors":"M. A. Sheppard, L. Shih","doi":"10.1109/CSBW.2005.58","DOIUrl":"https://doi.org/10.1109/CSBW.2005.58","url":null,"abstract":"An efficient, integrated image textural analysis and classification of transrectal prostate ultrasound images into clusters potentially representing cancerous or normal tissue areas is presented. Preliminary image texture analysis has shown the potential for doubled diagnosis accuracy from 38-42% for prostate cancer with current clinical methods, to 88-92%. In addition, image texture analysis makes prostate cancer locating possible for more precise, less invasive biopsy/treatment, instead of 6-way random biopsy. However, the initial image texture analysis on a mini VAX could take 8 days CPU time per image, i.e., more than 5 months for 20 cross-sections per patient. Over the last 10 years, we have improved the processing from 8 days to less than 10 seconds per image on a PC. The approach is based on Haralick's textural features and the Minimum Squared Error (MSE) clustering algorithm. The Java Textural Analysis/Classification (JTAC) application developed as part of this project offers significant reduction in run time, potentially allowing more accurate, objective diagnoses to be performed within clinical settings, and allows the investigation of parameters associated with textural and clustering processes. Using this integrated approach, specific results for several cases are tested and general conclusions are drawn.","PeriodicalId":123531,"journal":{"name":"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114647709","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: 12

Identifying local gene expression patterns in biomolecular networks 识别生物分子网络中的局部基因表达模式

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.72

A. Sivachenko, A. Yuryev, N. Daraselia, I. Mazo

引用次数: 10

Key features of the UCSC genome site UCSC基因组位点的主要特征

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.83

Heather Trumbower, J. Jackson

引用次数: 2

Gene-ontology-based analysis of gene expression changes in early development of Ceratopteris spores 基于基因本体的角翅虫孢子早期发育过程中基因表达变化分析

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.69

A. Loraine, Mari L. Salmi, Stephen C. Stout, S. Roux

引用次数: 1

Temperature and mutation switches in the secondary structure of small RNAs 小rna二级结构中的温度和突变开关

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.131

A. Avihoo, D. Barash

{"title":"Temperature and mutation switches in the secondary structure of small RNAs","authors":"A. Avihoo, D. Barash","doi":"10.1109/CSBW.2005.131","DOIUrl":"https://doi.org/10.1109/CSBW.2005.131","url":null,"abstract":"Conformational switching in the secondary structure of RNAs has recently attracted considerable attention, fostered by the discovery of 'riboswitches' living organisms. These are genetic control elements that were found in bacteria and offer a unique regulation mechanism based on switching between two highly stable states, separated by an energy barrier between them. In riboswitches. the energy barrier is crossed by direct metabolite binding, which facilitates regulation by allosteric means. However, other event triggers can cause switching to occur, such as single-point mutations and slight variations in temperature. Examples of switches with these event triggers have already been reported experimentally in the past. Here, our goal is to computationally design small RNA switches that rely on these triggers. Towards this end, our computer simulations utilize a variety of different similarity measures to assess the distances between an initial state and triggered states, based on the topology of the secondary structure itself. We describe these combined similarity measures that rely on both coarse-grained and fine-grained graph representations of the RNA secondary structure. As a result of our simulations, we provide some candidate sequences of approximately 30-50 nt, along with the exact triggers that drive the switching. The event triggers under consideration can be modelled by mfold or the Vienna package. To begin with, we concentrate on designing small temperature and mutation switches.","PeriodicalId":123531,"journal":{"name":"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115464152","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: 4

Integration of RNA search methods for identifying novel riboswitch patterns in eukaryotes 整合RNA搜索方法鉴定真核生物中新的核糖开关模式

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Pub Date : 2005-08-08 DOI: 10.1109/CSBW.2005.78

A. N. Cohen, K. Kedem, M. Shapira, D. Barash

引用次数: 0