好忠告人 发表于 2025-3-27 00:30:21

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larder 发表于 2025-3-27 03:21:45

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Derogate 发表于 2025-3-27 07:21:26

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Dissonance 发表于 2025-3-27 09:37:56

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textile 发表于 2025-3-27 14:21:18

Fast Spectral Pre-processing for Big MS Data,In this chapter, we discuss and introduce a data pre-processing algorithm for dimensionality reduction of big MS data. We will start by discussing a few spectral pre-processing methods followed by the introduction MS-REDUCE which is a highly efficient method for processing MS data.

Kindle 发表于 2025-3-27 18:08:51

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Focus-Words 发表于 2025-3-28 01:49:59

Machine-Learning and the Future of HPC for MS-Based Omics,To date, MS proteomics data is identified using database search algorithms based purely on numerical techniques or some denovo techniques that allow peptide identification without using databases. Currently, there is no single strategy from database search or denovo techniques that can claim as the most accurate strategy.

Systemic 发表于 2025-3-28 03:45:53

https://doi.org/10.1007/978-3-031-01960-9High Performance Computing; Mass Spectrometry; Big Data; Proteomics; Protogenomics

被告 发表于 2025-3-28 08:04:08

Fahad Saeed,Muhammad HaseebNumerous, advanced high-performance computing techniques and algorithms useful for omics practitioners.Suitable for both learning at undergraduate and graduate level as well as professional level.Ther

开花期女 发表于 2025-3-28 14:27:06

Computational Biologyhttp://image.papertrans.cn/h/image/426640.jpg
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查看完整版本: Titlebook: High-Performance Algorithms for Mass Spectrometry-Based Omics; Fahad Saeed,Muhammad Haseeb Book 2022 The Editor(s) (if applicable) and The