%0 Journal Article %1 journals/ploscb/GuetoTettayTHHKMM23 %A Gueto-Tettay, Carlos %A Tang, Di %A Happonen, Lotta %A Heusel, Moritz %A Khakzad, Hamed %A Malmström, Johan %A Malmström, Lars %D 2023 %J PLoS Comput. Biol. %K dblp %N 1 %T Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics. %U http://dblp.uni-trier.de/db/journals/ploscb/ploscb19.html#GuetoTettayTHHKMM23 %V 19

@article{journals/ploscb/GuetoTettayTHHKMM23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Gueto-Tettay, Carlos and Tang, Di and Happonen, Lotta and Heusel, Moritz and Khakzad, Hamed and Malmström, Johan and Malmström, Lars}, biburl = {https://www.bibsonomy.org/bibtex/29b90d57aca8c1b82caf7a809623d6286/dblp}, ee = {https://doi.org/10.1371/journal.pcbi.1010457}, interhash = {cb48f0a6cfd9caebbd8aa7519de3f27e}, intrahash = {9b90d57aca8c1b82caf7a809623d6286}, journal = {PLoS Comput. Biol.}, keywords = {dblp}, month = {January}, number = 1, timestamp = {2024-05-13T07:52:37.000+0200}, title = {Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.}, url = {http://dblp.uni-trier.de/db/journals/ploscb/ploscb19.html#GuetoTettayTHHKMM23}, volume = 19, year = 2023 }