刚开始 发表于 2025-3-23 13:09:41

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树木中 发表于 2025-3-23 14:09:16

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我不怕牺牲 发表于 2025-3-23 21:40:44

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SEED 发表于 2025-3-24 01:14:58

Statistical Approach for Biomarker Discovery Using Label-Free LC-MS Data: An Overview,trometry (MS) focus on the discovery of proteins as biomarkers and are commonly being used for this purpose. Mass spectrometry consists in the separation by gas of charged molecules, based on their mass-over-charge. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) first involves

Heresy 发表于 2025-3-24 06:08:11

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A精确的 发表于 2025-3-24 09:06:50

Logistic Regression Modeling on Mass Spectrometry Data in Proteomics Case-Control Discriminant Studze the predictor as a linear combination of Gaussian basis functions along the mass/charge axis. The location of these basis functions is treated as a random variable and must be estimated from the data. A fully Bayesian implementation is pursued, which allows the number of functional components wit

友好 发表于 2025-3-24 13:58:02

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胰脏 发表于 2025-3-24 16:08:17

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杠杆 发表于 2025-3-24 21:02:05

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NIL 发表于 2025-3-25 00:33:58

Statistical Approach for Biomarker Discovery Using Label-Free LC-MS Data: An Overview,ion by gas of charged molecules, based on their mass-over-charge. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) first involves a separation by liquid chromatography (LC) followed by mass spectrometry in the MS and MS/MS modes.
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查看完整版本: Titlebook: Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry; Susmita Datta,Bart J. A. Mertens Book 2017