入伍仪式 发表于 2025-3-26 22:17:36

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

CERE 发表于 2025-3-27 04:40:45

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.

男学院 发表于 2025-3-27 05:54:22

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.

一加就喷出 发表于 2025-3-27 13:04:33

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Repetitions 发表于 2025-3-27 13:57:02

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set598 发表于 2025-3-27 20:34:11

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现代 发表于 2025-3-28 00:23:02

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Instinctive 发表于 2025-3-28 04:39:51

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净礼 发表于 2025-3-28 07:00:52

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.

文艺 发表于 2025-3-28 13:56:04

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查看完整版本: Titlebook: Statistical Analysis in Proteomics; Klaus Jung Book 2016 Springer Science+Business Media New York 2016 Data analysis.High-throughput data.