共查询到20条相似文献,搜索用时 15 毫秒
1.
Anne-Marie Boulay Christian Bouchard Cecile Bulle Louise Deschênes Manuele Margni 《The International Journal of Life Cycle Assessment》2011,16(7):639-651
Purpose
As impact assessment methods for water use in LCA evolve, so must inventory methods. Water categories that consider water quality must be defined within life cycle inventory. The method presented here aims to establish water categories by source, quality parameter and user. 相似文献2.
Irina M Gana Dresen Tanja Boes Johannes Huesing Markus Neuhaeuser Karl-Heinz Joeckel 《BMC bioinformatics》2008,9(1):42
Background
Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in clustering procedures. Statistical methods are required to distinguish between real and random clusters. Several methods for assessing cluster stability have been published, including resampling methods such as the bootstrap. 相似文献3.
Background
Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Domain Fusion, which has proven to be effective in predicting functional links between proteins. 相似文献4.
Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset 下载免费PDF全文
Sung E Choe Michael Boutros Alan M Michelson George M Church Marc S Halfon 《Genome biology》2004,6(2):R16
Background
As more methods are developed to analyze RNA-profiling data, assessing their performance using control datasets becomes increasingly important. 相似文献5.
Sampo Pyysalo Filip Ginter Juho Heimonen Jari Björne Jorma Boberg Jouni Järvinen Tapio Salakoski 《BMC bioinformatics》2007,8(1):50
Background
Lately, there has been a great interest in the application of information extraction methods to the biomedical domain, in particular, to the extraction of relationships of genes, proteins, and RNA from scientific publications. The development and evaluation of such methods requires annotated domain corpora. 相似文献6.
Background
Application of phenetic methods to gene expression analysis proved to be a successful approach. Visualizing the results in a 3-dimentional space may further enhance these techniques. 相似文献7.
Background
Statistical methods to tentatively identify differentially expressed genes in microarray studies typically assume larger sample sizes than are practical or even possible in some settings. 相似文献8.
Background
Many molecules are flexible and undergo significant shape deformation as part of their function, and yet most existing molecular shape comparison (MSC) methods treat them as rigid bodies, which may lead to incorrect shape recognition. 相似文献9.
10.
Background
While conventional cloning methods using restriction enzymes and polynucleotide ligase are adequate for most DNAs, fragments made by the polymerase chain reaction are difficult to clone because the amplifying DNA polymerase tends to add untemplated nucleotides to the 3'-termini of the amplified strands. Conservative site-specific recombinases offer an efficient alternative to conventional cloning methods. 相似文献11.
Background
Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provide the most accurate results. However, kernel-based methods often lack an interpretable model for analysis of discriminative sequence features, and predictions on new sequences usually are computationally expensive. 相似文献12.
Background
In the post-genomic era, correct gene prediction has become one of the biggest challenges in genome annotation. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. This work presents a novel prokaryotic promoter prediction method based on DNA stability. 相似文献13.
Ramon Diaz-Uriarte 《BMC bioinformatics》2008,9(1):30
Background
Censored data are increasingly common in many microarray studies that attempt to relate gene expression to patient survival. Several new methods have been proposed in the last two years. Most of these methods, however, are not available to biomedical researchers, leading to many re-implementations from scratch of ad-hoc, and suboptimal, approaches with survival data. 相似文献14.
Background
Concomitant with the rise in the popularity of DNA microarrays has been a surge of proposed methods for the analysis of microarray data. Fully controlled "spike-in" datasets are an invaluable but rare tool for assessing the performance of various methods. 相似文献15.
16.
Sin-Ho Jung Insuk Sohn Stephen L George Liping Feng Phyllis C Leppert 《BMC bioinformatics》2009,10(1):164
Background
One of the main objectives of microarray analysis is to identify differentially expressed genes for different types of cells or treatments. Many statistical methods have been proposed to assess the treatment effects in microarray experiments. 相似文献17.
Benjamin Schmid Johannes Schindelin Albert Cardona Mark Longair Martin Heisenberg 《BMC bioinformatics》2010,11(1):274
Background
Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield three-dimensional (3D) data sets in need of appropriate computational methods for their analysis. The reconstruction, segmentation and registration are best approached from the 3D representation of the data set. 相似文献18.
Richard S Savage Katherine Heller Yang Xu Zoubin Ghahramani William M Truman Murray Grant Katherine J Denby David L Wild 《BMC bioinformatics》2009,10(1):242
Background
Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained. 相似文献19.
Benoît De Hertogh Bertrand De Meulder Fabrice Berger Michael Pierre Eric Bareke Anthoula Gaigneaux Eric Depiereux 《BMC bioinformatics》2010,11(1):17
Background
Recent reanalysis of spike-in datasets underscored the need for new and more accurate benchmark datasets for statistical microarray analysis. We present here a fresh method using biologically-relevant data to evaluate the performance of statistical methods. 相似文献20.
André Fischer Nils Enkler Gerd Neudert Marco Bocola Reinhard Sterner Rainer Merkl 《BMC bioinformatics》2009,10(1):54