EOSC-ENTRUST MS9 Revised Driver Requirements for TREs from the four Drivers
Anne van der Kant, Srishti Dang, Deborah Wiltshire, Beate Lichtwardt et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Alexandra Danyi
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
12Publications signalées
426Citations signalées
0Affiliations récentes
Domaines associés
Cancer Genomics and DiagnosticsGenetic factors in colorectal cancerBiomedical Text Mining and OntologiesResearch Data Management PracticesScientific Computing and Data Management
Publications récentes
EOSC-ENTRUST MS9 Revised Driver Requirements for TREs from the four Drivers
Anne van der Kant, Srishti Dang, Deborah Wiltshire, Beate Lichtwardt et autres
0 citationsZenodo (CERN European Organization for Nuclear Research)
Unlocking patterns in limited omics data: Machine learning-based diagnostics from small and sparse cancer omics datasets
Alexandra Danyi, Cancer, CMM Groep De Ridder, Jeroen de Ridder et autres
0 citationsUtrecht University Repository (Utrecht University)
Unlocking patterns in limited omics data
0 citations
Predicting response to enzalutamide and abiraterone in metastatic prostate cancer using whole-omics machine learning
Anouk C. de Jong, Alexandra Danyi, Job van Riet, Ronald de Wit et autres
18 citationsNature Communications
Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlić et autres
2 citationsNature Communications
Cancer Type Classification in Liquid Biopsies Based on Sparse Mutational Profiles Enabled through Data Augmentation and Integration
Alexandra Danyi, Myrthe Jager, Jeroen de Ridder
12 citationsLife
Cancer type classification in liquid biopsies based on sparse mutational profiles enabled through data augmentation and integration
Alexandra Danyi, Myrthe Jager, Jeroen de Ridder
3 citationsbioRxiv (Cold Spring Harbor Laboratory)
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlić et autres
245 citationsNature Communications
Long Terminal Repeat CRISPR-CAR-Coupled “Universal” T Cells Mediate Potent Anti-leukemic Effects
Christos Georgiadis, Roland Preece, Lauren Nickolay, Annie Etuk et autres
142 citationsMolecular Therapy
A deep learning system can accurately classify primary and metastatic cancers based on patterns of passenger mutations
Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlić et autres
4 citationsbioRxiv (Cold Spring Harbor Laboratory)
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