New Results
Optimising multi-batch TMT analysis to mitigate inflation of missing values, false positives and diminished inter batch accuracy
View ORCID ProfileAlejandro Brenes, Jens Hukelmann, Dalila Bensaddek, Angus I. Lamond
doi: https://doi.org/10.1101/497396
Alejandro Brenes
1Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, United Kingdom
Jens Hukelmann
1Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, United Kingdom
2Immatics, Paul-Ehrlich-Str. 15, Tuebingen, 72076, Germany
Dalila Bensaddek
3Bruker Daltonics Inc, Banner Lane, Coventry, CV4 9GH, United Kingdom
Angus I. Lamond
1Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, United Kingdom
Article usage
Posted December 16, 2018.
Optimising multi-batch TMT analysis to mitigate inflation of missing values, false positives and diminished inter batch accuracy
Alejandro Brenes, Jens Hukelmann, Dalila Bensaddek, Angus I. Lamond
bioRxiv 497396; doi: https://doi.org/10.1101/497396
Subject Areas
- Biochemistry (11755)
- Bioengineering (8757)
- Bioinformatics (29209)
- Biophysics (14980)
- Cancer Biology (12103)
- Cell Biology (17416)
- Clinical Trials (138)
- Developmental Biology (9425)
- Ecology (14187)
- Epidemiology (2067)
- Evolutionary Biology (18314)
- Genetics (12246)
- Genomics (16807)
- Immunology (11870)
- Microbiology (28101)
- Molecular Biology (11599)
- Neuroscience (60995)
- Paleontology (452)
- Pathology (1872)
- Pharmacology and Toxicology (3238)
- Physiology (4961)
- Plant Biology (10429)
- Synthetic Biology (2887)
- Systems Biology (7341)
- Zoology (1651)