Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Philip Barwikowski"'
Autor:
Hannah Voß, Simon Schlumbohm, Philip Barwikowski, Marcus Wurlitzer, Matthias Dottermusch, Philipp Neumann, Hartmut Schlüter, Julia E. Neumann, Christoph Krisp
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Dataset integration is common practice to overcome limitations in statistically underpowered omics datasets. Here the authors present “HarmonizR”, a tool for missing data tolerant experimental variance reduction in large, integrated but independe
Externí odkaz:
https://doaj.org/article/70242071ce604542a8bbc9f98ca2f60f
Autor:
Hannah Voss, Shweta Godbole, Simon Schlumbohm, Matthias Dottermusch, Yannis Schuhmann, Philipp Neumann, Hartmut Schlüter, Ulrich Schüller, Bojia Peng, Philip Barwikowski, Christoph Krisp, Julia E Neumann
Publikováno v:
Neuro-Oncology. 24:i156-i157
Investigating the proteome can add a significant layer of information to manifold existing methylation, mutation, and transcriptome data on brain tumors as proteins represent the pharmacologically addressable phenotype of a disease. Small cohorts lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c119945f4d467d6a93911df0f9d36fa0
https://doi.org/10.1093/neuonc/noac079.580
https://doi.org/10.1093/neuonc/noac079.580
Autor:
Hannah Voß, Simon Schlumbohm, Marcus Wurlitzer, Matthias Dottermusch, Philipp Neumann, Philip Barwikowski, Hartmut Schlüter, Christoph Krisp, Julia Neumann
Publikováno v:
Neuro-Oncology. 24:i148-i148
Dataset integration is common practice to overcome limitations, e.g., in statistically underpowered omics datasets. This is of particular importance when analyzing rare tumor entities. However, combining datasets leads to the introduction of biases,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22b34d614aedf2ff0ec411deb0d07ce8
https://doi.org/10.1093/neuonc/noac079.546
https://doi.org/10.1093/neuonc/noac079.546