Computational Advances in the Label-free Quantification of Cancer Proteomics Data.
CONCLUSION: There is a dramatic increase of LFQ approaches in recent year, which significantly enhance the diversity of the possible quantification strategies for studying cancer proteomics.
PMID: 30387388 [PubMed - as supplied by publisher]
Source: Current Pharmaceutical Design - Category: Drugs & Pharmacology Authors: Tang J, Zhang Y, Fu J, Wang Y, Li Y, Yang Q, Yao L, Xue W, Zhu F Tags: Curr Pharm Des Source Type: research