New Results
A peptide-level multiple imputation strategy accounting for the different natures of missing values in proteomics data
Q. Giai Gianetto, S. Wieczorek, Y. Couté, T. Burger
doi: https://doi.org/10.1101/2020.05.29.122770
Q. Giai Gianetto
1Univ. Grenoble Alpes, CEA, INSERM, BIG-BGE, 38000 Grenoble, France
2Institut Pasteur - Bioinformatics and Biostatistics Hub (Computational Biology Department, USR 3756 IP CNRS), Paris, 75015, France
3Institut Pasteur - Proteomics platform (Mass Spectrometry for Biology, USR 2000 IP CNRS), Paris, 75015, France
S. Wieczorek
1Univ. Grenoble Alpes, CEA, INSERM, BIG-BGE, 38000 Grenoble, France
Y. Couté
1Univ. Grenoble Alpes, CEA, INSERM, BIG-BGE, 38000 Grenoble, France
T. Burger
1Univ. Grenoble Alpes, CEA, INSERM, BIG-BGE, 38000 Grenoble, France
4CNRS, BIG-BGE, F-38000 Grenoble, France
Article usage
Posted May 30, 2020.
A peptide-level multiple imputation strategy accounting for the different natures of missing values in proteomics data
Q. Giai Gianetto, S. Wieczorek, Y. Couté, T. Burger
bioRxiv 2020.05.29.122770; doi: https://doi.org/10.1101/2020.05.29.122770
Subject Area
Subject Areas
- Biochemistry (11493)
- Bioengineering (8568)
- Bioinformatics (28730)
- Biophysics (14725)
- Cancer Biology (11850)
- Cell Biology (17059)
- Clinical Trials (138)
- Developmental Biology (9273)
- Ecology (13965)
- Epidemiology (2067)
- Evolutionary Biology (18064)
- Genetics (12105)
- Genomics (16553)
- Immunology (11653)
- Microbiology (27533)
- Molecular Biology (11322)
- Neuroscience (59843)
- Paleontology (446)
- Pathology (1839)
- Pharmacology and Toxicology (3169)
- Physiology (4853)
- Plant Biology (10221)
- Synthetic Biology (2827)
- Systems Biology (7271)
- Zoology (1605)