標(biāo)題: Titlebook: Bioinformatics and Computational Biology Solutions Using R and Bioconductor; Robert Gentleman,Vincent J. Carey,Sandrine Dudoit Book 2005 S [打印本頁] 作者: Pierce 時(shí)間: 2025-3-21 18:43
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書目名稱Bioinformatics and Computational Biology Solutions Using R and Bioconductor影響因子(影響力)學(xué)科排名
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書目名稱Bioinformatics and Computational Biology Solutions Using R and Bioconductor網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bioinformatics and Computational Biology Solutions Using R and Bioconductor被引頻次
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書目名稱Bioinformatics and Computational Biology Solutions Using R and Bioconductor讀者反饋
書目名稱Bioinformatics and Computational Biology Solutions Using R and Bioconductor讀者反饋學(xué)科排名
作者: 帳單 時(shí)間: 2025-3-21 20:34
,Theorie der r?umlichen Kerbwirkung,(cDNA arrays versus short oligonucleotide arrays). Traditional measures, such as Euclidean and Manhattan distances as well as correlation-based distances, are considered. Other dissimilarity functions, which involve comparisons of distributions based on the Kullback-Leibler and mutual information cr作者: CRUDE 時(shí)間: 2025-3-22 02:39
Distance Measures in DNA Microarray Data Analysis(cDNA arrays versus short oligonucleotide arrays). Traditional measures, such as Euclidean and Manhattan distances as well as correlation-based distances, are considered. Other dissimilarity functions, which involve comparisons of distributions based on the Kullback-Leibler and mutual information cr作者: 可轉(zhuǎn)變 時(shí)間: 2025-3-22 05:54
Book 2005ublicly available data, and a major section of the book is devoted to exposition of fully worked case studies...This book is more than a static collection of descriptive text, figures, and code examples that were run by the authors to produce the text; it is a dynamic document. Code underlying all o作者: generic 時(shí)間: 2025-3-22 12:16 作者: 動(dòng)機(jī) 時(shí)間: 2025-3-22 13:54 作者: Harness 時(shí)間: 2025-3-22 18:45 作者: glucagon 時(shí)間: 2025-3-22 23:44 作者: 空洞 時(shí)間: 2025-3-23 02:52
,Theorie der r?umlichen Kerbwirkung,e dependency between pairs of variables, heatmaps for the visualization of matrix-like data, the visualization of distance relationships between objects, and the visualization of data along genomic coordinates.作者: POLYP 時(shí)間: 2025-3-23 06:23
,Theorie der r?umlichen Kerbwirkung,samples. Most examples are based on microarray data, but the principles are much broader and apply to many other sources of data. In this overview, the basic concepts and assumptions are briefly sketched.作者: hankering 時(shí)間: 2025-3-23 10:07
,Theorie der r?umlichen Kerbwirkung,plotting ordered dissimilarity matrices in R. A new R package hopach, which implements the Hierarchical Ordered Partitioning And Collapsing Hybrid (HOPACH) algorithm, is presented (van der Laan and Pollard, 2003). The methodology is applied to a renal cell cancer gene expression data set.作者: 固定某物 時(shí)間: 2025-3-23 16:40 作者: narcotic 時(shí)間: 2025-3-23 18:02
SELDI-TOF Mass Spectrometry Protein Data transcriptomics technologies discussed in Chapters 2-4; however, due to the more complicated chemistry of proteins, compared to RNA, the field has a different and diverse set of technologies and produces a wide range of specific challenges. Here we discuss one particular mass spectrometry technology.作者: legacy 時(shí)間: 2025-3-23 22:25 作者: relieve 時(shí)間: 2025-3-24 06:21
Visualizing Datae dependency between pairs of variables, heatmaps for the visualization of matrix-like data, the visualization of distance relationships between objects, and the visualization of data along genomic coordinates.作者: 下垂 時(shí)間: 2025-3-24 08:50
Analysis Overviewsamples. Most examples are based on microarray data, but the principles are much broader and apply to many other sources of data. In this overview, the basic concepts and assumptions are briefly sketched.作者: Fermentation 時(shí)間: 2025-3-24 13:02 作者: detach 時(shí)間: 2025-3-24 15:41
Ensemble Methods of Computational Inferenceods to data from patients suffering acute lymphoblastic leukemia or renal cell cancer is illustrated. The problem of identifying the best method for a certain prediction task is addressed by means of benchmark experiments.作者: 難理解 時(shí)間: 2025-3-24 21:31 作者: Ruptured-Disk 時(shí)間: 2025-3-25 01:24
https://doi.org/10.1007/978-3-7091-3107-7 all or at least large parts of the experimental procedures and data collection are automated. Cell-based assays offer the potential for clustering of genes based on their functional profiles (Piano et al., 2002) and epistatic analyses to elucidate complex genetic networks (Tong et al., 2004).作者: 招致 時(shí)間: 2025-3-25 06:50
Versuchswerkstoffe und Probenherstellung,n analysis. Bioconductor provides tools for creating, distributing, and accessing annotation resources in ways that have been found effective in workflows for statistical analysis of microarray and other high-throughput assays.作者: 任意 時(shí)間: 2025-3-25 11:08 作者: NORM 時(shí)間: 2025-3-25 15:41
Quality Assessment of Affymetrix GeneChip Datahts obtained from fitting robust linear models to the probe level data can be used as a visual tool for identifying artifacts on GeneChip microarrays. Other output from the probe-level modeling tools provide summary plots that may be used to identify aberrant chips.作者: WAX 時(shí)間: 2025-3-25 16:36 作者: 梯田 時(shí)間: 2025-3-25 23:24
Meta-data Resources and Tools in Bioconductorn analysis. Bioconductor provides tools for creating, distributing, and accessing annotation resources in ways that have been found effective in workflows for statistical analysis of microarray and other high-throughput assays.作者: Customary 時(shí)間: 2025-3-26 01:16
Browser-based Affymetrix Analysis and Annotation the pros and cons of using it versus the typical command line environment of R. Installation and configuration will be fully covered. Use of theWeb-based interface will be visually demonstrated. Finally, we will describe how to expand the interface by adding additional analysis modules.作者: 駭人 時(shí)間: 2025-3-26 06:19
https://doi.org/10.1007/978-3-7091-3107-7 for preprocessing probe-level data stored in an . object into expression-level data stored in an . object. Because there are many competing methods for this preprocessing step, it is useful to have a way to assess the differences. In Bioconductor, this can be carried out using the affycomp package, which we discuss briefly.作者: 作嘔 時(shí)間: 2025-3-26 11:50 作者: circuit 時(shí)間: 2025-3-26 14:51 作者: 賠償 時(shí)間: 2025-3-26 18:03 作者: anniversary 時(shí)間: 2025-3-27 00:21
Book 2005ut experimentation in genomics and molecular biology. Bioconductor is rooted in the open source statistical computing environment R...This volume‘s coverage is broad and ranges across most of the key capabilities of the Bioconductor project, including importation and preprocessing of high-throughput作者: Liberate 時(shí)間: 2025-3-27 02:54 作者: Chandelier 時(shí)間: 2025-3-27 05:27
Versuchswerkstoffe und Probenherstellung, Web services as the basic computational resource for bioinformatics. Well-designed Web services will play an essential role in solving many bioinformatic problems and R has the capability of playing many different roles, both on the client and the server side.作者: Exclaim 時(shí)間: 2025-3-27 10:37
Theorie der prismatischen Kerbwirkung,est to the Acute Lymphoblastic Leukemia (ALL) data set of Chiaretti et al. (2004), with the aim of identifying genes whose expression measures are associated with (possibly censored) biological and clinical outcomes.作者: 欄桿 時(shí)間: 2025-3-27 15:22
Preprocessing Two-Color Spotted Arraysoratory tools such as MAplots, spatial plots, and boxplots to assess data quality of an array. Finally, algorithms available for performing appropriate normalization to remove sources of systematic variation are discussed. We will illustrate the above-mentioned functions using a case study.作者: 虛弱 時(shí)間: 2025-3-27 18:13
Querying On-line Resources Web services as the basic computational resource for bioinformatics. Well-designed Web services will play an essential role in solving many bioinformatic problems and R has the capability of playing many different roles, both on the client and the server side.作者: 圓錐 時(shí)間: 2025-3-28 00:56
Multiple Testing Procedures: the multtest Package and Applications to Genomicsest to the Acute Lymphoblastic Leukemia (ALL) data set of Chiaretti et al. (2004), with the aim of identifying genes whose expression measures are associated with (possibly censored) biological and clinical outcomes.作者: GULP 時(shí)間: 2025-3-28 05:15 作者: 鬼魂 時(shí)間: 2025-3-28 08:57 作者: 不吉祥的女人 時(shí)間: 2025-3-28 14:11 作者: MAPLE 時(shí)間: 2025-3-28 15:41 作者: paragon 時(shí)間: 2025-3-28 19:23
Cell-Based Assayshe contribution of genes to a biological process or phenotype (Carpenter and Sabatini, 2004). In principle, this can be done for any gene or combination of genes and for any biological process of interest. There is a variety of technologies, but all of them rely on the availability of genomic resour作者: 誹謗 時(shí)間: 2025-3-29 01:59 作者: 取消 時(shí)間: 2025-3-29 06:23 作者: paltry 時(shí)間: 2025-3-29 08:32
Querying On-line Resourcesrt the use of different technologies (including HTTP, SOAP, and XML-RPC) for accessing different Web services. In this chapter we describe the tools for accessing Web services and demonstrate their use in a number of examples..Our view is very similar to that proposed by Stein (2002), who emphasized作者: Extricate 時(shí)間: 2025-3-29 12:51
Interactive Outputs-line resources, such as those supplied by the EBI or the NCBI, and which can be shared between different investigators. We discuss both the simple creation of these pages as well as some of the underlying software tools that can be used to construct new and different outputs. Although linked Web pa作者: 臭名昭著 時(shí)間: 2025-3-29 16:32
Visualizing Datascientific papers. Here we review some of the recurring concepts in visualizing genomic and biological data. We discuss scatterplots to investigate the dependency between pairs of variables, heatmaps for the visualization of matrix-like data, the visualization of distance relationships between objec作者: 碎石 時(shí)間: 2025-3-29 20:50
Analysis Overview is that preprocessing has led to a sample for which it is reasonable to make comparisons between samples or between feature-vectors assembled across samples. Most examples are based on microarray data, but the principles are much broader and apply to many other sources of data. In this overview, th作者: jocular 時(shí)間: 2025-3-30 00:25
Distance Measures in DNA Microarray Data Analysise classified or clustered. Different measures of distance or similarity will lead to different machine learning performance. The appropriateness of a distance measure will typically depend on the types of features being used in the learning process..In this chapter, we examine the properties of dist作者: 感情脆弱 時(shí)間: 2025-3-30 04:13 作者: BAN 時(shí)間: 2025-3-30 10:57 作者: Astigmatism 時(shí)間: 2025-3-30 12:41
Multiple Testing Procedures: the multtest Package and Applications to Genomicsolling a broad class of Type I error rates. The current version of multtest provides MTPs for tests concerning means, differences in means, and regression parameters in linear and Cox proportional hazards models. Typical testing scenarios are illustrated by applying various MTPs implemented in multt作者: 影響深遠(yuǎn) 時(shí)間: 2025-3-30 18:24
Machine Learning Concepts and Tools for Statistical Genomics learning methods are described, along with various approaches to learner assessment. The Bioconductor interfaces to machine learning tools are described and illustrated. Key problems of model selection and interpretation are reviewed in examples.作者: seruting 時(shí)間: 2025-3-30 21:30 作者: colostrum 時(shí)間: 2025-3-31 03:51
Browser-based Affymetrix Analysis and Annotation Bioconductor packages into a consistent environment that can be deployed for use by small groups or large departments. Without ever seeing a command prompt, it will take the user from raw data to annotated lists of the most significantly differentially expressed genes. It will optionally make use o作者: acrimony 時(shí)間: 2025-3-31 08:05
Preprocessing Overview, and each of them requires specific considerations. These will be described in detail by other chapters in this part of the book. This overview chapter describes relevant data structures, and provides with some broadly applicable theoretical background.作者: Binge-Drinking 時(shí)間: 2025-3-31 11:15 作者: Definitive 時(shí)間: 2025-3-31 13:58
https://doi.org/10.1007/0-387-29362-0Annotation; DNA; Processing; bioinformatics; biology; calculus; classification; cluster analysis; data analy作者: Physiatrist 時(shí)間: 2025-3-31 21:22 作者: Veneer 時(shí)間: 2025-3-31 22:30
Boston KPro Type I: Complications, and each of them requires specific considerations. These will be described in detail by other chapters in this part of the book. This overview chapter describes relevant data structures, and provides with some broadly applicable theoretical background.作者: acquisition 時(shí)間: 2025-4-1 04:38 作者: 鳥籠 時(shí)間: 2025-4-1 07:47 作者: 全國性 時(shí)間: 2025-4-1 12:11