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Arnold Janssen
Researcher at University of Düsseldorf
Publications - 90
Citations - 1540
Arnold Janssen is an academic researcher from University of Düsseldorf. The author has contributed to research in topics: Nonparametric statistics & False discovery rate. The author has an hindex of 15, co-authored 90 publications receiving 1409 citations. Previous affiliations of Arnold Janssen include University of Siegen & Folkwang University of the Arts.
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Origins of major archaeal clades correspond to gene acquisitions from bacteria
Shijulal Nelson-Sathi,Filipa L. Sousa,Mayo Roettger,Nabor Lozada-Chávez,Thorsten Thiergart,Arnold Janssen,David Bryant,Giddy Landan,Peter Schönheit,Bettina Siebers,James O. McInerney,William Martin +11 more
TL;DR: To investigate the origin of higher taxa in archaea, gene distributions and gene phylogenies for the 267,568 protein-coding genes of 134 sequenced archaeal genomes are determined in the context of their homologues from 1,847 reference bacterial genomes.
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Acquisition of 1,000 eubacterial genes physiologically transformed a methanogen at the origin of Haloarchaea
Shijulal Nelson-Sathi,Tal Dagan,Giddy Landan,Arnold Janssen,Mike Steel,James O. McInerney,Uwe Deppenmeier,William Martin +7 more
TL;DR: The data suggest that 1,089 haloarchaeal gene families that were acquired by a methanogenic recipient from eubacteria were acquired in the halo archaeal common ancestor, not in parallel in independent haloARCHaeal lineages, nor in the common ancestor of halo Archaeans and methanosarcinales.
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How do bootstrap and permutation tests work
Arnold Janssen,Thorsten Pauls +1 more
TL;DR: In this article, a comprehensive and unified approach for the conditional and unconditional analysis of linear resampling statistics is presented under fairly mild assumptions and an asymptotic series representation for their weak accumulation points.
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Studentized permutation tests for non-i.i.d. hypotheses and the generalized Behrens-Fisher problem
TL;DR: In this paper, it was shown that permutation tests based on studentized statistics are asymptotically exact of size α also under certain extended non-i.i.d. null hypotheses.
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Global power functions of goodness of fit tests
TL;DR: In this article, it was shown that the global power function of any nonparametric test is flat on balls of alternatives except for alternatives coming from a finite dimensional subspace, and that the level points are far away from the corresponding Neym an-Pearson test level points except for a finite number of orthogonal directions of alternatives.