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Zeitschriftenartikel (4)

1.
Zeitschriftenartikel
Ravell, J. C.; Matsuda-Lennikov, M.; Chauvin, S. D.; Zou, J.; Biancalana, M.; Deeb, S. J.; Price, S.; Su, H. C.; Notarangelo, G.; Jiang, P. et al.; Morawski, A.; Kanellopoulou, C.; Binder, K.; Mukherjee, R.; Anibal, J. T.; Sellers, B.; Zheng, L.; He, T.; George, A. B.; Pittaluga, S.; Powers, A.; Kleiner, D. E.; Kapuria, D.; Ghany, M.; Hunsberger, S.; Cohen, J. I.; Uzel, G.; Bergerson, J.; Wolfe, L.; Toro, C.; Gahl, W.; Folio, L. R.; Matthews, H.; Angelus, P.; Chinn, I. K.; Orange, J. S.; Trujillo-Vargas, C. M.; Franco, J. L.; Orrego-Arango, J.; Gutierrez-Hincapie, S.; Patel, N. C.; Raymond, K.; Patiroglu, T.; Unal, E.; Karakukcu, M.; Day, A. G. R.; Mehta, P.; Masutani, E.; De Ravin, S. S.; Malech, H. L.; Altan-Bonnet, G.; Rao, V. K.; Mann, M.; Lenardo, M. J.: Defective glycosylation and multisystem abnormalities characterize the primary immunodeficiency XMEN disease. JOURNAL OF CLINICAL INVESTIGATION 130 (1), S. 507 - 522 (2020)
2.
Zeitschriftenartikel
Deeb, S. J.; Tyanova, S.; Hummel, M.; Schmidt-Supprian, M.; Cox, J.; Mann, M.: Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles. MOLECULAR & CELLULAR PROTEOMICS 14 (11), S. 2947 - 2960 (2015)
3.
Zeitschriftenartikel
Deeb, S. J.; Cox, J.; Schmidt-Supprian, M.; Mann, M.: N-linked Glycosylation Enrichment for In-depth Cell Surface Proteomics of Diffuse Large B-cell Lymphoma Subtypes. MOLECULAR & CELLULAR PROTEOMICS 13 (1), S. 240 - 251 (2014)
4.
Zeitschriftenartikel
Deeb, S. J.; D'Souza, R. C. J.; Cox, J.; Schmidt-Supprian, M.; Mann, M.: Super-SILAC Allows Classification of Diffuse Large B-cell Lymphoma Subtypes by Their Protein Expression Profiles. MOLECULAR & CELLULAR PROTEOMICS 11 (5), S. 77 - 89 (2012)

Hochschulschrift - Doktorarbeit (2)

5.
Hochschulschrift - Doktorarbeit
Deeb, S. J.: MS-based quantitative proteomics for molecular cancer diagnostics. Dissertation, Ludwig-Maximilians-Universität, München (2014)
6.
Hochschulschrift - Doktorarbeit
Deeb, S.: MS-based Quantitative Proteomics for Molecular Cancer Diagnostics. Dissertation, 134 S., Ludwig-Maximilians-Universität, München (2014)
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