Philipp Keyl

Publications

199

Citations

H-Index

2022

Active since

Affiliations

Berlin Institute for the Foundations of Learning and Data(Current)

Freie Universität Berlin

Ludwig-Maximilians-Universität München

University Medical Center Hamburg-Eppendorf

Universität Hamburg

Philipp Keyl is an author at Berlin Institute for the Foundations of Learning and Data specializing in bioinformatics, tumor heterogeneity, and lung cancer.

ORCID

Top concepts

GeneticsMedicineEngineeringLung CancerCell BiologyDeep LearningBioinformaticsExplainable AiCancer ResearchGene Expression

Publications per year

2022–2025

Publications

DNA methylation-based classification of sinonasal tumors

Philipp Jurmeister, Stefanie Glöß, Renée F. Roller et al. · Nature Communications · 2022 · 81 citations · Full text

Single-cell gene regulatory network prediction by explainable AI

Philipp Keyl, Philip Bischoff, Gabriel Dernbach et al. · Nucleic Acids Research · 2023 · 56 citations · Full text

Engineering, Genetics, Gene Regulatory Network +22

Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence

Julius Keyl, Philipp Keyl, Grégoire Montavon et al. · Nature Cancer · 2025 · 32 citations · Full text

Patient-level proteomic network prediction by explainable artificial intelligence

Philipp Keyl, Michael Bockmayr, Daniel Heim et al. · npj Precision Oncology · 2022 · 30 citations · Full text

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