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Judith Bernett
Judith Bernett
Technical University of Munich
Bestätigte E-Mail-Adresse bei tum.de
Titel
Zitiert von
Zitiert von
Jahr
Network medicine for disease module identification and drug repurposing with the NeDRex platform
S Sadegh, J Skelton, E Anastasi, J Bernett, DB Blumenthal, G Galindez, ...
Nature communications 12 (1), 6848, 2021
932021
Cracking the black box of deep sequence-based protein–protein interaction prediction
J Bernett, DB Blumenthal, M List
Briefings in Bioinformatics 25 (2), bbae076, 2024
302024
Robust disease module mining via enumeration of diverse prize-collecting Steiner trees
J Bernett, D Krupke, S Sadegh, J Baumbach, SP Fekete, T Kacprowski, ...
Bioinformatics 38 (6), 1600-1606, 2022
202022
Guiding questions to avoid data leakage in biological machine learning applications
J Bernett, DB Blumenthal, DG Grimm, F Haselbeck, R Joeres, OV Kalinina, ...
Nature Methods 21 (8), 1444-1453, 2024
152024
A systematic comparison of novel and existing differential analysis methods for CyTOF data
L Arend, J Bernett, Q Manz, M Klug, O Lazareva, J Baumbach, ...
Briefings in Bioinformatics 23 (1), bbab471, 2022
122022
Machine Learning and Artificial Intelligence in drug repurposing–challenges and perspectives
E Anokian, J Bernett, A Freeman, M List, L Prieto Santamaria, Z Tanoli, ...
DrugRxiv, 2024
32024
DrugRepoChatter: a drug repurposing expert chatbot curated by the REPO4EU consortium
FM Delgado-Chaves, L Spindler, F Firoozbakht, A Maier, M Hartung, ...
Drug Repurposing 1 (2), 20240014, 2024
12024
D2. 1 Whitepaper on the platform knowledge base and data standards for in silico drug repurposing
M List, Q Manz, J Bernett, M Hartung, FM Delgado Chaves, A Maier, ...
REPO4EU, 2024
12024
Refinement Strategies for Tangram for Reliable Single-Cell to Spatial Mapping
M Stahl, LJ Straßer, CT Lio, J Bernett, R Röttger, M List
bioRxiv, 2025.01. 27.634996, 2025
2025
Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65
T Reim, A Hartebrodt, DB Blumenthal, J Bernett, M List
bioRxiv, 2025.01. 23.634454, 2025
2025
The good, the bad, and the ugly: Drug response prediction using machine learning
M Picciani, J Bernett, M List, M Wilhelm
RExPO24, 2024
2024
Deep proteome profiling of reticulated platelets in patients with chronic coronary syndrome using mass cytometry
J Han, K Kirmes, M Klug, J Bernett, Q Manz, L Arend, O Lazareva, ...
Cardiovascular Research 120 (Supplement_1), cvae088. 154, 2024
2024
Drug Response Prediction with Machine Learning: A Critical Assessment of Current Approaches
J Bernett, M Picciani, M List, M Wilhelm
RExPO23, 2023
2023
CYANUS-a web platform for analyzing drug response markers in cytometry data
L Arend, J Bernett, Q Manz, M Klug, O Lazareva, J Baumbach, ...
RExPO22, 2022
2022
Deep proteome profiling of mature and reticulated platelets in patients with chronic coronary syndrome using mass cytometry
M Klug, J Bernett, Q Manz, L Arend, J Han, K Kirmes, O Lazareva, ...
Cardiovascular Research 118 (Supplement_1), cvac066. 167, 2022
2022
A Systematic Comparison of Differential Analysis Methods for CyTOF Data
L Arend, J Bernett, Q Manz, M Klug, O Lazareva, J Baumbach, ...
bioRxiv, 2021.08. 09.455609, 2021
2021
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