| The whole-genome landscape of medulloblastoma subtypes PA Northcott, I Buchhalter, AS Morrissy, V Hovestadt, J Weischenfeldt, ... Nature 547 (7663), 311-317, 2017 | 948 | 2017 |
| Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues*[S] R Bruderer, OM Bernhardt, T Gandhi, SM Miladinović, LY Cheng, ... Molecular & Cellular Proteomics 14 (5), 1400-1410, 2015 | 922 | 2015 |
| Spatial exclusivity combined with positive and negative selection of phosphorylation motifs is the basis for context-dependent mitotic signaling J Alexander, D Lim, BA Joughin, B Hegemann, JRA Hutchins, ... Science signaling 4 (179), ra42-ra42, 2011 | 186 | 2011 |
| Proteomics, post-translational modifications, and integrative analyses reveal molecular heterogeneity within medulloblastoma subgroups TC Archer, T Ehrenberger, F Mundt, MP Gold, K Krug, CK Mah, ... Cancer cell 34 (3), 396-410. e8, 2018 | 174 | 2018 |
| Phosphorylation of ETS1 by Src family kinases prevents its recognition by the COP1 tumor suppressor G Lu, Q Zhang, Y Huang, J Song, R Tomaino, T Ehrenberger, E Lim, ... Cancer cell 26 (2), 222-234, 2014 | 102 | 2014 |
| Answer ALS, a large-scale resource for sporadic and familial ALS combining clinical and multi-omics data from induced pluripotent cell lines EG Baxi, T Thompson, J Li, JA Kaye, RG Lim, J Wu, D Ramamoorthy, ... Nature neuroscience 25 (2), 226-237, 2022 | 73 | 2022 |
| A genome-scale in vivo loss-of-function screen identifies Phf6 as a lineage-specific regulator of leukemia cell growth CE Meacham, LN Lawton, YM Soto-Feliciano, JR Pritchard, BA Joughin, ... Genes & development 29 (5), 483-488, 2015 | 70 | 2015 |
| DiSCoVERing Innovative Therapies for Rare Tumors: Combining Genetically Accurate Disease Models with In Silico Analysis to Identify Novel Therapeutic Targets AR Hanaford, TC Archer, A Price, UD Kahlert, J Maciaczyk, G Nikkhah, ... Clinical Cancer Research 22 (15), 3903-3914, 2016 | 62 | 2016 |
| Computational prediction of protein-protein interactions T Ehrenberger, LC Cantley, MB Yaffe Protein-Protein Interactions: Methods and Applications, 57-75, 2015 | 40 | 2015 |
| Early epigenomic and transcriptional changes reveal Elk-1 transcription factor as a therapeutic target in Huntington’s disease F Yildirim, CW Ng, V Kappes, T Ehrenberger, SK Rigby, V Stivanello, ... Proceedings of the National Academy of Sciences 116 (49), 24840-24851, 2019 | 35 | 2019 |
| A multivariate computational method to analyze high-content RNAi screening data J Rameseder, K Krismer, Y Dayma, T Ehrenberger, MK Hwang, ... Journal of biomolecular screening 20 (8), 985-997, 2015 | 11 | 2015 |
| D-Light on promoters: a client-server system for the analysis and visualization of cis-regulatory elements J Laimer, CJ Zuzan, T Ehrenberger, M Freudenberger, S Gschwandtner, ... BMC bioinformatics 14, 1-8, 2013 | 8 | 2013 |
| Graph-sparse logistic regression A LeNail, L Schmidt, J Li, T Ehrenberger, K Sachs, S Jegelka, E Fraenkel arXiv preprint arXiv:1712.05510, 2017 | 3 | 2017 |
| In vivo functional genomics screen to uncover tumor intrinsic negative regulators of NK cell-mediated tumor cell killing K Duval, E Krall, F Piccioni, M Monberg, M Spatz, T Ehrenberger, ... Cancer Research 83 (7_Supplement), 227-227, 2023 | | 2023 |
| Integrated omics modeling of transcriptional regulation in medulloblastoma subtypes OS Chapman, T Ehrenberger, TC Archer, MP Gold, F Mundt, M Adam, ... Cancer Research 80 (16_Supplement), 447-447, 2020 | | 2020 |
| Cancer systems biology: functional insights and therapeutic strategies for medulloblastoma from omic data integration T Ehrenberger Massachusetts Institute of Technology, 2019 | | 2019 |
| Proteomics, Post-translational Modifications, and Integrative Analyses Reveal Molecular Heterogeneity within Medulloblastoma Subgroups T Ehrenberger, MP Gold, A LeNail, D Ramamoorthy, E Fraenkel Elsevier BV, 2018 | | 2018 |
| DiSCoVERing innovative therapies for rare tumors: Combining genetically accurate disease models with advanced in silico analysis to identify novel therapeutic targets AR Hanaford, TC Archer, A Price, U Kahlert, J Maciaczyk, N Guido, W Kim, ... Cancer Research 76 (14_Supplement), 2476-2476, 2016 | | 2016 |
| Computational Prediction of Kinase-Substrate Interactions with Scansite 3 and the Enrichment of well-known Protein-Protein Interaction Networks with Novel and Relevant Interactors T Ehrenberger | | 2012 |
| General guidelines for validation of decoy models for HRM/DIA/SWATH as exemplified using Spectronaut OM Bernhardt, RM Bruderer, T Gandhi, SM Miladinović, M Bober, ... | | |
