Methods in Molecular Biology - Proteomics Data Analysis
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Published By Springer US

9781071616406, 9781071616413
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 for Differential Proteomics Using

2021 ◽  
pp. 179-196
Author(s):  
Florence Combes ◽  
Valentin Loux ◽  
Yves Vandenbrouck
Keyword(s):  
Differential Proteomics

Integration of Proteomics and Other Omics Data

2021 ◽  
pp. 307-324
Author(s):  
Mengyun Wu ◽  
Yu Jiang ◽  
Shuangge Ma
Keyword(s):  
Omics Data

of Incongruous Cancer Genomics and Proteomics Datasets

2021 ◽  
pp. 291-305
Author(s):  
Karla Cervantes-Gracia ◽  
Richard Chahwan ◽  
Holger Husi
Keyword(s):  
Cancer Genomics ◽  
Genomics And Proteomics

Elaboration Pipeline for the Management of MALDI-MS Imaging Datasets

2021 ◽  
pp. 129-142
Author(s):  
Andrew Smith ◽  
Isabella Piga ◽  
Vanna Denti ◽  
Clizia Chinello ◽  
Fulvio Magni
Keyword(s):  
Maldi Ms ◽  
Ms Imaging

Software Options for the Analysis of MS-Proteomic Data

2021 ◽  
pp. 35-59
Author(s):  
Avinash Yadav ◽  
Federica Marini ◽  
Alessandro Cuomo ◽  
Tiziana Bonaldi
Keyword(s):  
Proteomic Data

Data Processing and Analysis for DIA-Based Using

2021 ◽  
pp. 95-107
Author(s):  
Ana Martinez-Val ◽  
Dorte Breinholdt Bekker-Jensen ◽  
Alexander Hogrebe ◽  
Jesper Velgaard Olsen
Keyword(s):  
Data Processing

Machine and Deep for Prediction of Subcellular Localization

2021 ◽  
pp. 249-261
Author(s):  
Gaofeng Pan ◽  
Chao Sun ◽  
Zijun Liao ◽  
Jijun Tang
Keyword(s):  
Subcellular Localization
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