Treffer: Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data
Title:
Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data
Authors:
Idkowiak, JakubAff1, Aff2, Dehairs, Jonas, Schwarzerová, JanaAff3, Aff4, Aff5, Olešová, DominikaAff6, Aff7, Truong, Jacob X. M.Aff8, Aff9, Kvasnička, AlešAff10, Aff11, Eftychiou, MariosAff12, Aff13, Aff14, Aff15, Cools, RubenAff12, Aff13, Aff14, Spotbeen, Xander, Jirásko, Robert, Veseli, Vullnet, Giampà, MarcoAff16, Aff17, de Laat, Vincent, Butler, Lisa M.Aff8, Aff9, Weckwerth, WolframAff4, Aff18, Friedecký, David, Demeulemeester, JonasAff12, Aff13, Aff14, Hron, Karel, Swinnen, Johannes V., Holčapek, MichalAff1, IDs41467025637511_cor1
Source:
Nature Communications. 16(1)
Database:
Springer Nature Journals