Martin Sill

发表

RF_Purify: a novel tool for comprehensive analysis of tumor-purity in methylation array data based on random forest regression

Pascal David Johann, Natalie Jäger, Stefan M. Pfister, 2019, BMC Bioinformatics.

Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data

Martin Sill, Volker Hovestadt, Andreas von Deimling, 2020, Nature Protocols.

Robust biclustering by sparse singular value decomposition incorporating stability selection

Martin Sill, Axel Benner, Annette Kopp-Schneider, 2011, Bioinform..

DNA methylation-based classification of central nervous system tumours

Till Acker, Pieter Wesseling, Martin Sill, 2018, Nature.

Applying stability selection to consistently estimate sparse principal components in high-dimensional molecular data

Martin Sill, Axel Benner, Maral Saadati, 2015, Bioinform..

Robust Biclustering Analysis of Microarray Data by Sparse Singular Value Decomposition Incorporating Stability Selection

Martin Sill, 2011 .

c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models

Martin Sill, Thomas Hielscher, Manuela Zucknick, 2014 .

Assessment and optimisation of normalisation methods for dual-colour antibody microarrays

Martin Sill, Axel Benner, Manuela Zucknick, 2010, BMC Bioinformatics.

PATH-04. AN ENHANCED AI-DRIVEN PLATFORM FOR PRECISION MOLECULAR BRAIN TUMOR DIANOSTICS

Martin Sill, Andreas von Deimling, Felix Sahm, 2020, Neuro-Oncology.

SEURAT: Visual analytics for the integrated analysis of microarray data

Martin Sill, Axel Benner, Antony Unwin, 2010, BMC Medical Genomics.

DNA methylation-based classification and grading system for meningioma: a multicentre, retrospective analysis.

Martin Sill, Michael Platten, Volker Hovestadt, 2017, The Lancet. Oncology.

Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre

Martin Sill, Andreas von Deimling, David T. W. Jones, 2019, Acta Neuropathologica Communications.

Assessing CpG island methylator phenotype, 1p/19q codeletion, and MGMT promoter methylation from epigenome-wide data in the biomarker cohort of the NOA-04 trial.

Martin Sill, Michael Platten, Volker Hovestadt, 2014, Neuro-oncology.

Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

Martin Sill, Michael Götz, David Bonekamp, 2016, Clinical Cancer Research.

Adamantinomatous and papillary craniopharyngiomas are characterized by distinct epigenomic as well as mutational and transcriptomic profiles

Martin Sill, Michael Buchfelder, Rudolf Fahlbusch, 2016, Acta Neuropathologica Communications.

Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features.

Martin Sill, David Bonekamp, Alexander Radbruch, 2016, Radiology.

Papillary Tumor of the Pineal Region: A Distinct Molecular Entity

Pieter Wesseling, Martin Sill, Volker Hovestadt, 2016, Brain pathology.

Methylation profiling of choroid plexus tumors reveals 3 clinically distinct subgroups.

Martin Sill, Volker Hovestadt, Andreas von Deimling, 2016, Neuro-oncology.

Practical implementation of DNA methylation and copy-number-based CNS tumor diagnostics: the Heidelberg experience

Martin Sill, Volker Hovestadt, Stefan M. Pfister, 2018, Acta Neuropathologica.

Delineation of two clinically and molecularly distinct subgroups of posterior fossa ependymoma.

Gary D Bader, Martin Sill, Axel Benner, 2011, Cancer cell.

New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs

Roland Eils, Pieter Wesseling, Martin Sill, 2016, Cell.

Heterogeneity within the PF-EPN-B ependymoma subgroup

Martin Sill, Caterina Giannini, Hendrik Witt, 2018, Acta Neuropathologica.

Second-generation molecular subgrouping of medulloblastoma: an international meta-analysis of Group 3 and Group 4 subtypes

Martin Sill, Volker Hovestadt, Stefan M. Pfister, 2019, Acta Neuropathologica.

Reproducible Research with R and RStudio. C. Gandrud (2013). Chapman & Hall/CRC: The R Series. 294 pages, ISBN‐13: 978‐1466572843.

Martin Sill, M. Sill, 2014 .

Integrated DNA methylation and copy-number profiling identify three clinically and biologically relevant groups of anaplastic glioma

Martin Sill, Alexander Radbruch, Volker Hovestadt, 2014, Acta Neuropathologica.