Fenyö, David

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

Coudray, N., Ocampo, P. S., Sakellaropoulos, T., Narula, N., Snuderl, M., Fenyö, D., Moreira, A. L., Razavian, N., & Tsirigos, A. (2018) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,930

Proteogenomics connects somatic mutations to signalling in breast cancer

CPTAC, N., Mertins, P., Mani, D. R., Ruggles, K. V., Gillette, M. A., Clauser, K. R., Wang, P., Wang, X., Qiao, J. W., Cao, S., et al. (2016) · Nature

Advanced Proteomics Techniques and ApplicationsCancer Genomics and Diagnostics

Cited by 1,676

Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

Gillette, M. A., Satpathy, S., Cao, S., Dhanasekaran, S. M., Vasaikar, S. V., Krug, K., Petralia, F., Li, Y., Liang, W.-W., Reva, B., et al. (2020) · Cell

Lung Cancer Treatments and MutationsLung Cancer Research Studies

Cited by 820

Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

Clark, D. J., Dhanasekaran, S. M., Petralia, F., Pan, J., Song, X., Hu, Y., da Veiga Leprevost, F., Reva, B., Lih, T.-S. M., Chang, H.-Y., et al. (2019) · Cell

Renal cell carcinoma treatmentCancer Genomics and Diagnostics

Cited by 730

Proteogenomic and metabolomic characterization of human glioblastoma

Wang, L.-B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., et al. (2021) · Cancer Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 661

Proteogenomic characterization of pancreatic ductal adenocarcinoma

Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., et al. (2021) · Cell

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 578

Proteogenomic Characterization of Endometrial Carcinoma

Dou, Y., Kawaler, E. A., Cui Zhou, D., Gritsenko, M. A., Huang, C., Blumenberg, L., Karpova, A., Petyuk, V. A., Savage, S. R., Satpathy, S., et al. (2020) · Cell

Endometrial and Cervical Cancer TreatmentsAdvanced Proteomics Techniques and Applications

Cited by 485

Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer

Petralia, F., Tignor, N., Reva, B., Koptyra, M., Chowdhury, S., Rykunov, D., Krek, A., Ma, W., Zhu, Y., Ji, J., et al. (2020) · Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 317

Separable roles for Mycobacterium tuberculosis ESX-3 effectors in iron acquisition and virulence

Tufariello, J. M., Chapman, J. R., Kerantzas, C. A., Wong, K.-W., Vilchèze, C., Jones, C. M., Cole, L. E., Tinaztepe, E., Thompson, V., Fenyö, D., et al. (2016) · Proceedings of the National Academy of Sciences

Tuberculosis Research and EpidemiologyBacterial Genetics and Biotechnology

Cited by 215

Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models

Hong, R., Liu, W., DeLair, D., Razavian, N., & Fenyö, D. (2021) · Cell Reports Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 154

LINE-1 protein localization and functional dynamics during the cell cycle

Mita, P., Wudzinska, A., Sun, X., Andrade, J., Nayak, S., Kahler, D. J., Badri, S., LaCava, J., Ueberheide, B., Yun, C. Y., et al. (2018) · eLife

Chromosomal and Genetic VariationsGenomic variations and chromosomal abnormalities

Cited by 142

Cell fitness screens reveal a conflict between LINE-1 retrotransposition and DNA replication

Ardeljan, D., Steranka, J. P., Liu, C., Li, Z., Taylor, M. S., Payer, L. M., Gorbounov, M., Sarnecki, J. S., Deshpande, V., Hruban, R. H., et al. (2020) · Nature Structural & Molecular Biology

Chromosomal and Genetic VariationsDNA Repair Mechanisms

Cited by 135

BRCA1 and S phase DNA repair pathways restrict LINE-1 retrotransposition in human cells

Mita, P., Sun, X., Fenyö, D., Kahler, D. J., Li, D., Agmon, N., Wudzinska, A., Keegan, S., Bader, J. S., Yun, C., et al. (2020) · Nature Structural & Molecular Biology

DNA Repair MechanismsChromosomal and Genetic Variations

Cited by 113

Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin

Liang, W.-W., Lu, R. J.-H., Jayasinghe, R. G., Foltz, S. M., Porta-Pardo, E., Geffen, Y., Wendl, M. C., Lazcano, R., Kolodziejczak, I., Song, Y., et al. (2023) · Cancer Cell

Epigenetics and DNA MethylationCancer Genomics and Diagnostics

Cited by 105

Proteogenomic analysis of aneuploidy reveals divergent types of gene expression regulation across cellular pathways

Cheng, P., Zhao, X., Katsnelson, L., Moya, R., Shwetar, J., Fenyö, D., & Davoli, T. (2021) · eLife

Advanced Proteomics Techniques and ApplicationsCancer Genomics and Diagnostics

Cited by 26

Discovery of protein modifications using high resolution differential mass spectrometry proteomics

Cifani, P., Li, Z., Luo, D., Grivainis, M., Intlekofer, A. M., Fenyö, D., & Kentsis, A. (2020) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 24

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics

Cifani, P., Li, Z., Luo, D., Grivainis, M., Intlekofer, A. M., Fenyö, D., & Kentsis, A. (2021) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 24

The Hidden Story of Heterogeneous B-raf V600E Mutation Quantitative Protein Expression in Metastatic Melanoma—Association with Clinical Outcome and Tumor Phenotypes

Betancourt, L. H., Szasz, A. M., Kuras, M., Rodriguez Murillo, J., Sugihara, Y., Pla, I., Horvath, Z., Pawłowski, K., Rezeli, M., Miharada, K., et al. (2019) · Cancers

Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management

Cited by 24

Mitochondrial and immune response dysregulation in melanoma recurrence

Szadai, L., Guedes, J. D. S., Woldmar, N., de Almeida, N. P., Jánosi, Á. J., Rajeh, A., Kovács, F., Kriston, A., Migh, E., Wan, G., et al. (2023) · Clinical and Translational Medicine

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 18

Deep Learning and Its Applications in Computational Pathology

Hong, R., & Fenyö, D. (2022) · BioMedInformatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 14

Deep Learning and Its Applications in Computational Pathology

Hong, R., & Fenyö, D. (2022) · BioMedInformatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 13