Author

Mohamed Kotb

Max Planck Institute of Biochemistry

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Bioinformatics· 1

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Approach:deep learning· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

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Constantin AmmariD· 1 shared Georg WallmanniD· 1 shared Magnus Schwörer· 1 shared Marvin ThielertiD· 1 shared Matthias ManniD· 1 shared Maximilian T. StraussiD· 1 shared Mikhail LebedeviD· 1 shared Patricia SkowronekiD· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Constantin AmmarORCID

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1 paper

Recent·Most cited

AlphaDIA enables End-to-End Transfer Learning for Feature-Free Proteomics

Georg Wallmann, Patricia Skowronek, Vincenth Brennsteiner, Mikhail Lebedev, Marvin Thielert, Sophia Steigerwald, Mohamed Kotb, Tim Heymann, Xie‐Xuan Zhou, Magnus Schwörer, Maximilian T. Strauss, Constantin Ammar, Sander Willems, Wen‐Feng Zeng, Matthias Mann

AlphaDIA enables end-to-end transfer learning for feature-free proteomics, improving identification and quantification of post-translational modifications.

bioRxiv · May 28, 2024 · PreprintBioinformatics