Parallel Factor Analysis Enables Quantification and Identification of Highly Convolved Data-Independent-Acquired Protein Spectra
Journal article, 2020
deconvolution
data-independent acquisition
tensor factorization
DSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problem
canonical decomposition
big data
proteomics
PARAFAC
mass spectrometry
Author
Filip Buric
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Jan Zrimec
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Aleksej Zelezniak
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Science for Life Laboratory (SciLifeLab)
Patterns
26663899 (eISSN)
Vol. 1 9 100137Subject Categories
Analytical Chemistry
Bioinformatics (Computational Biology)
Bioinformatics and Systems Biology
DOI
10.1016/j.patter.2020.100137
PubMed
33336195