標題: Titlebook: Statistical Analysis in Proteomics; Klaus Jung Book 2016 Springer Science+Business Media New York 2016 Data analysis.High-throughput data. [打印本頁] 作者: 預(yù)兆前 時間: 2025-3-21 19:09
書目名稱Statistical Analysis in Proteomics影響因子(影響力)
書目名稱Statistical Analysis in Proteomics影響因子(影響力)學(xué)科排名
書目名稱Statistical Analysis in Proteomics網(wǎng)絡(luò)公開度
書目名稱Statistical Analysis in Proteomics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Statistical Analysis in Proteomics被引頻次
書目名稱Statistical Analysis in Proteomics被引頻次學(xué)科排名
書目名稱Statistical Analysis in Proteomics年度引用
書目名稱Statistical Analysis in Proteomics年度引用學(xué)科排名
書目名稱Statistical Analysis in Proteomics讀者反饋
書目名稱Statistical Analysis in Proteomics讀者反饋學(xué)科排名
作者: Nefarious 時間: 2025-3-21 21:04 作者: 清洗 時間: 2025-3-22 03:45
Methods in Molecular Biologyhttp://image.papertrans.cn/s/image/876324.jpg作者: CERE 時間: 2025-3-22 06:43 作者: 阻止 時間: 2025-3-22 11:10
Visualization and Differential Analysis of Protein Expression Data Using RData analysis is essential to derive meaningful conclusions from proteomic data. This chapter describes ways of performing common data visualization and differential analysis tasks on gel-based proteomic datasets using a freely available statistical software package (R). A workflow followed is illustrated using a synthetic dataset as example.作者: 執(zhí) 時間: 2025-3-22 15:45
Klaus JungIncludes cutting-edge methods for the study of the statistical analysis of proteomics.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from 作者: 殺人 時間: 2025-3-22 17:46 作者: 負擔(dān) 時間: 2025-3-22 22:46
Tsung-Heng Tsai,Minkun Wang,Habtom W. Ressomve numerical and spice level simulations.Well balanced topic.Semiconductor power electronics plays a dominant role due its increased efficiency and high reliability in various domains including the medium and high electrical drives, automotive and aircraft applications, electrical power conversion, 作者: expeditious 時間: 2025-3-23 01:25
Antonella Chiechive numerical and spice level simulations.Well balanced topic.Semiconductor power electronics plays a dominant role due its increased efficiency and high reliability in various domains including the medium and high electrical drives, automotive and aircraft applications, electrical power conversion, 作者: 組成 時間: 2025-3-23 06:18 作者: Pillory 時間: 2025-3-23 12:07
ve numerical and spice level simulations.Well balanced topic.Semiconductor power electronics plays a dominant role due its increased efficiency and high reliability in various domains including the medium and high electrical drives, automotive and aircraft applications, electrical power conversion, 作者: 或者發(fā)神韻 時間: 2025-3-23 17:16
Tomé S. Silva,Nadège Richardve numerical and spice level simulations.Well balanced topic.Semiconductor power electronics plays a dominant role due its increased efficiency and high reliability in various domains including the medium and high electrical drives, automotive and aircraft applications, electrical power conversion, 作者: Foment 時間: 2025-3-23 19:41
Suruchi Aggarwal,Amit Kumar Yadav Ph.D.ve numerical and spice level simulations.Well balanced topic.Semiconductor power electronics plays a dominant role due its increased efficiency and high reliability in various domains including the medium and high electrical drives, automotive and aircraft applications, electrical power conversion, 作者: Flavouring 時間: 2025-3-24 00:32 作者: brachial-plexus 時間: 2025-3-24 04:39 作者: 時代 時間: 2025-3-24 10:21
Book 2016erlap between statistical methods for the different ‘omics’ fields, methods for analyzing data from proteomics experiments need their own specific adaptations. To satisfy that need, .Statistical Analysis in Proteomics. focuses on the planning of proteomics experiments, the preprocessing and analysis作者: 致敬 時間: 2025-3-24 12:58
Introduction to Proteomics Technologiesity. While the successful implementation of proteomics workflows and technology still requires significant levels of expertise and specialization, great strides have been made to make the technology more powerful, streamlined and accessible. In 2014, two landmark studies published the first draft ve作者: 禁止 時間: 2025-3-24 18:02 作者: ovation 時間: 2025-3-24 20:35 作者: Calculus 時間: 2025-3-25 01:35
Normalization of Reverse Phase Protein Microarray Data: Choosing the Best Normalization Analyteposttranslational modified forms, in a small clinical sample. Data normalization is fundamental for this technology, to correct for the sample-to-sample variability in the many possible confounding factors: extracellular proteins, red blood cells, different number of cells in the sample. To address 作者: 夾死提手勢 時間: 2025-3-25 05:19
Outlier Detection for Mass Spectrometric Datare often obtained, some of which may be extreme. Identifying the causes of outlying observations is important in the analysis of replicated MS data because elaborate pre-processing is essential in order to obtain successful analyses with reliable results, and because manual outlier detection is a ti作者: Lacerate 時間: 2025-3-25 08:04 作者: fodlder 時間: 2025-3-25 14:42
A Nonparametric Bayesian Model for Nested Clustering set of experimental units. The proposed model is motivated by the analysis of protein activation data, where we cluster proteins such that all proteins in one cluster give rise to the same clustering of patients. That is, we define clusters of proteins by the way that patients group with respect to作者: ONYM 時間: 2025-3-25 16:22 作者: Deadpan 時間: 2025-3-25 23:52
Classification of Samples with Order-Restricted Discriminant Rulesover protein profiles specific to each pathological state. One of the questions where proteomics is giving useful practical results is that of classifying patients into one of the possible severity levels of an illness, based on some features measured on the patient. This classification is usually m作者: discord 時間: 2025-3-26 00:51 作者: Engaged 時間: 2025-3-26 07:05 作者: falsehood 時間: 2025-3-26 10:09 作者: 減震 時間: 2025-3-26 15:41 作者: Accolade 時間: 2025-3-26 19:45 作者: 入伍儀式 時間: 2025-3-26 22:17
1064-3745 e results.Contains key notes and implementation advice from .This valuable collection aims to provide a collection of frequently used statistical methods in the field of proteomics. Although there is a large overlap between statistical methods for the different ‘omics’ fields, methods for analyzing 作者: CERE 時間: 2025-3-27 04:40
A Nonparametric Bayesian Model for Nested Clusteringl to define clusters. This includes in particular model based clustering, Dirichlet process mixtures, product partition models, and more. We show results for two typical biostatistical inference problems that give rise to clustering.作者: 男學(xué)院 時間: 2025-3-27 05:54
Application of Discriminant Analysis and Cross-Validation on Proteomics Data available. In this chapter, different approaches for cross-validation are presented including relevant aspects that should be taken into account to avoid overly optimistic results and the assessment of the statistical significance of cross-validated figures of merit.作者: 一加就噴出 時間: 2025-3-27 13:04 作者: Repetitions 時間: 2025-3-27 13:57 作者: set598 時間: 2025-3-27 20:34 作者: 現(xiàn)代 時間: 2025-3-28 00:23 作者: Instinctive 時間: 2025-3-28 04:39 作者: 凈禮 時間: 2025-3-28 07:00
Introduction to Proteomics Technologiessible at last. We present and discuss the basic concepts behind proteomics mass spectrometry and the accompanying topic of protein and peptide separations, with a focus on the properties of datasets emerging from such studies.作者: 文藝 時間: 2025-3-28 13:56 作者: 蕁麻 時間: 2025-3-28 17:28
False Discovery Rate Estimation in Proteomics positives present in the data processed. False discovery rate (FDR) is the metric for global confidence assessment of a large-scale proteomics dataset. This chapter covers the basics of FDR, its application in proteomics, and methods to estimate FDR.作者: GET 時間: 2025-3-28 22:01
Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysisexperiment and the second only those features of a particular set. In this chapter we detail the working principle of these kind of statistical methods and describe how features can be classified into molecular subsets. We illustrate the use of the methods on a data example from a proteomics Parkins作者: Pulmonary-Veins 時間: 2025-3-28 23:25 作者: Thyroid-Gland 時間: 2025-3-29 03:59 作者: 策略 時間: 2025-3-29 08:38 作者: 脫水 時間: 2025-3-29 13:20
Julia Kuligowski,David Pérez-Guaita,Guillermo Quintás Ph.D.作者: 完成才會征服 時間: 2025-3-29 15:40
Irene Sui Lan Zeng Ph.D.provide reference information by selected, leading authorities in their domain of expertise. They are representing both academia and industry. All of them have been chosen because of their intimate knowledge of their subjects as well as their ability to present them in an easily understandable manner..978-94-017-8449-8978-90-481-3046-7作者: PANT 時間: 2025-3-29 20:10 作者: 俗艷 時間: 2025-3-30 03:25 作者: 減去 時間: 2025-3-30 04:28 作者: Antecedent 時間: 2025-3-30 12:03 作者: 陪審團每個人 時間: 2025-3-30 15:37
