Spatial multimodal analysis of transcriptomes and metabolomes in tissues.

Autor: Vicari, Marco, Mirzazadeh, Reza, Nilsson, Anna, Shariatgorji, Reza, Bjärterot, Patrik, Larsson, Ludvig, Lee, Hower, Nilsson, Mats, Foyer, Julia, Ekvall, Markus, Czarnewski, Paulo, Zhang, Xiaoqun, Svenningsson, Per, Käll, Lukas, Andrén, Per E., Lundeberg, Joakim

Publikováno v: Nature Biotechnology; Jul2024, Vol. 42 Issue 7, p1046-1050, 5p

Prosit Transformer: A transformer for Prediction of MS2 Spectrum Intensities

Autor: Ekvall, Markus, Truong, Patrick, Gabriel, Wassim, Wilhelm, Mathias, Käll, Lukas

Publikováno v: J. Proteome Research

Machine learning has been an integral part of interpreting data from mass spectrometry (MS)-based proteomics for a long time. Relatively recently, a machine-learning structure appeared successful in other areas of bioinformatics, Transformers. Furthe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5687bb9ac7935f83619d564efcd93236
https://doi.org/10.1021/acs.jproteome.1c00870

Parallelized calculation of permutation tests.

Autor: Ekvall M; Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 171 21 Solna, Sweden., Höhle M; Department of Mathematics, Stockholm University, 106 91 Stockholm, Sweden., Käll L; Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 171 21 Solna, Sweden.

Publikováno v: Bioinformatics (Oxford, England) [Bioinformatics] 2021 Apr 01; Vol. 36 (22-23), pp. 5392-5397.