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Julia E Neumann

Showing results (1-10 of 43) with videos related to

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BMC Bioinformatics|February 11, 2025
HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservationSimon Schlumbohm, Julia E Neumann, Philipp Neumann
Proteomics|December 31, 2024
Computational Methods for Data Integration and Imputation of Missing Values in Omics DatasetsYannis Schumann, Antonia Gocke, Julia E Neumann
BMC Bioinformatics|March 21, 2023
Robust classification using average correlations as features (ACF)Yannis Schumann, Julia E Neumann, Philipp Neumann
Acta Neuropathologica|July 21, 2017
Medulloblastoma: experimental models and realityJulia E Neumann, Fredrik J Swartling, Ulrich Schüller
Acta Neuropathologica|June 21, 2015
Localization of SHH medulloblastoma in mice depends on the age at its initiationJasmin Ohli, Julia E Neumann, Daniel Grammel, et al.
Nature Communications|August 2, 2025
High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT)Yannis Schumann, Simon Schlumbohm, Julia E Neumann, et al.
Neuropathology and Applied Neurobiology|November 25, 2021
Spatial molecular profiling of a central nervous system low-grade diffusely infiltrative tumour with INI1 deficiency featuring a high-grade atypical teratoid/rhabdoid tumour componentMatthias Dottermusch, Yannis Schumann, Uwe Kordes, et al.
Free Neuropathology|June 7, 2023
An atypical teratoid/rhabdoid tumor (AT/RT) with molecular features of pleomorphic xanthoastrocytoma (PXA) in a 62-year-old patientMatthias Dottermusch, Ali Alomari, Nesrin Uksul, et al.
Acta Neuropathologica|May 12, 2024
Anaplastic histology and distinct molecular features in a small series of spinal cord ependymomasUlrich Schüller, Antonia Gocke, Shweta Godbole, et al.
BMC Bioinformatics|September 23, 2025
CCNV: a user-friendly R package enabling large-scale cumulative copy number variation analyses of DNA methylation dataAntonia Gocke, Yannis Schumann, Jelena Navolić, et al.
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
BMC Bioinformatics|February 11, 2025
HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservationSimon Schlumbohm, Julia E Neumann, Philipp Neumann
Proteomics|December 31, 2024
Computational Methods for Data Integration and Imputation of Missing Values in Omics DatasetsYannis Schumann, Antonia Gocke, Julia E Neumann
BMC Bioinformatics|March 21, 2023
Robust classification using average correlations as features (ACF)Yannis Schumann, Julia E Neumann, Philipp Neumann
Acta Neuropathologica|July 21, 2017
Medulloblastoma: experimental models and realityJulia E Neumann, Fredrik J Swartling, Ulrich Schüller
Acta Neuropathologica|June 21, 2015
Localization of SHH medulloblastoma in mice depends on the age at its initiationJasmin Ohli, Julia E Neumann, Daniel Grammel, et al.
Nature Communications|August 2, 2025
High performance data integration for large-scale analyses of incomplete Omic profiles using Batch-Effect Reduction Trees (BERT)Yannis Schumann, Simon Schlumbohm, Julia E Neumann, et al.
Neuropathology and Applied Neurobiology|November 25, 2021
Spatial molecular profiling of a central nervous system low-grade diffusely infiltrative tumour with INI1 deficiency featuring a high-grade atypical teratoid/rhabdoid tumour componentMatthias Dottermusch, Yannis Schumann, Uwe Kordes, et al.
Free Neuropathology|June 7, 2023
An atypical teratoid/rhabdoid tumor (AT/RT) with molecular features of pleomorphic xanthoastrocytoma (PXA) in a 62-year-old patientMatthias Dottermusch, Ali Alomari, Nesrin Uksul, et al.
Acta Neuropathologica|May 12, 2024
Anaplastic histology and distinct molecular features in a small series of spinal cord ependymomasUlrich Schüller, Antonia Gocke, Shweta Godbole, et al.
BMC Bioinformatics|September 23, 2025
CCNV: a user-friendly R package enabling large-scale cumulative copy number variation analyses of DNA methylation dataAntonia Gocke, Yannis Schumann, Jelena Navolić, et al.
Pageof 5