Label-free Quantification Integration
Label-Free Quantification Integration is a computational framework in proteomics data integration that enables the consolidation and comparative analysis of peptide or protein abundance measurements across multiple LC-MS datasets without the use of isotopic labeling, by aligning retention times, normalizing intensities, and matching features to support quantitative biological interpretation.
8
Publications
625
Citations
57
Authors
21
Institutions
Publications per year
2017–2026
3
Parents
8
Leonie Grube, Rafael Dellen, Fabian Kruse et al. · Journal of Proteome Research · 2018 · 69 citations
PANDA: A comprehensive and flexible tool for quantitative proteomics data analysis
Cheng Chang, Mansheng Li, Chaoping Guo et al. · Bioinformatics · 2018 · 32 citations · Full text
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Scripps Research Institute
San Diego, United States
1 h-index
1 publications
406 citations
Centre Léon Bérard
Lyon, France
1 h-index
5 publications
50 citations
Inserm
Paris, France
1 h-index
6 publications
60 citations
Max Planck Institute of Biochemistry
Martinsried, Germany
1 h-index
1 publications
61 citations
Sidney Kimmel Cancer Center
Philadelphia, United States
1 h-index
6 publications
2.4K citations
Fred Hutch Cancer Center
Seattle, United States
1 h-index
7 publications
133 citations
Institute of Software
Beijing, China
1 h-index
2 publications
64 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
34 citations
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2 publications · 27 citations
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JPR · 2 publications · 88 citations
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1 publications · 406 citations
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1 publications · 32 citations
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Book series · 1 publications · 61 citations
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