Mathias Wilhelm
Max Planck Computing and Data Facility(DE)Technical University of Munich(DE)
Publications by Year
Research Areas
Advanced Proteomics Techniques and Applications, Mass Spectrometry Techniques and Applications, Machine Learning in Bioinformatics, Metabolomics and Mass Spectrometry Studies, Genomics and Phylogenetic Studies
Most-Cited Works
- → Mass-spectrometry-based draft of the human proteome(2014)1,883 cited
- → Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning(2019)945 cited
- → The target landscape of clinical kinase drugs(2017)850 cited
- → A deep proteome and transcriptome abundance atlas of 29 healthy human tissues(2019)781 cited
- → Mass-spectrometry-based draft of the Arabidopsis proteome(2020)529 cited
- → A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets(2015)473 cited
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