Tilo Buschmann
Fraunhofer Society
21 Papers
49 Citations
Tilo Buschmann is an academic researcher from Fraunhofer Society. The author has contributed to research in topics: Biology & Barcode. The author has an hindex of 10, co-authored 18 publications. Previous affiliations of Tilo Buschmann include Max Planck Society & Dresden University of Technology.
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Papers
Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping
Johannes Stelzer,Johannes Stelzer,Tilo Buschmann,Tilo Buschmann,Gabriele Lohmann,Daniel S. Margulies,Robert Trampel,Robert Turner +7 more
TL;DR: This work proposes the combination of a non-parametric and permutation-based statistical framework with linear classifiers that is more spatially precise, revealing both informative anatomical structures as well as the direction by which voxels contribute to the classification.
Deficient approaches to human neuroimaging
Johannes Stelzer,Johannes Stelzer,Gabriele Lohmann,Karsten Mueller,Tilo Buschmann,Tilo Buschmann,Robert Turner,Robert Turner +7 more
TL;DR: This critique emphasizes recent reports of excessively high numbers of both false positive and false negative findings in fMRI brain mapping, and discusses the inherent pitfalls and shortcomings of methodologies for statistical parametric mapping.
DNABarcodes: an R package for the systematic construction of DNA sample tags.
TL;DR: An R package that combines known algorithms and innovative methods for the efficient, flexible and near‐optimal generation of robust barcode sets, designed for speed, versatility, provable correctness and large set sizes is prepared.
STAT3-induced long noncoding RNAs in multiple myeloma cells display different properties in cancer.
Stefanie Binder,Stefanie Binder,Nadine Hösler,Nadine Hösler,Diana Riedel,Diana Riedel,Ivonne Zipfel,Ivonne Zipfel,Tilo Buschmann,Christoph Kämpf,Kristin Reiche,Kristin Reiche,Renate Burger,Martin Gramatzki,Jörg Hackermüller,Jörg Hackermüller,Jörg Hackermüller,Peter F. Stadler,Friedemann Horn +18 more
TL;DR: A number ofSTAT3-induced lncRNAs are revealed suggesting that the interplay between the coding and noncoding worlds represents a fundamental principle of STAT3-driven cancer development in multiple myeloma and beyond.
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Task-Related Edge Density (TED)-A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain.
Gabriele Lohmann,Gabriele Lohmann,Johannes Stelzer,Johannes Stelzer,Verena Zuber,Tilo Buschmann,Daniel S. Margulies,Andreas Bartels,Klaus Scheffler,Klaus Scheffler +9 more
TL;DR: Task-related edge density (TED) as discussed by the authors was proposed to identify edges that show differing levels of synchrony between two distinct task conditions and that occur in dense packs with similar characteristics, which is a very strong marker for dynamic network formation that easily lends itself to statistical analysis using large scale statistical inference.