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Items: 1 to 20 of 28

1.

Multivariate multiple test procedures based on nonparametric copula estimation.

Neumann A, Bodnar T, Pfeifer D, Dickhaus T.

Biom J. 2018 Jul 12. doi: 10.1002/bimj.201700205. [Epub ahead of print]

PMID:
30003587
2.

BEAP profiles as rapid test system for status analysis and early detection of process incidents in biogas plants.

Refai S, Berger S, Wassmann K, Hecht M, Dickhaus T, Deppenmeier U.

J Ind Microbiol Biotechnol. 2017 Mar;44(3):465-476. doi: 10.1007/s10295-016-1894-8. Epub 2017 Jan 7.

PMID:
28064390
3.

Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies.

Mieth B, Kloft M, Rodríguez JA, Sonnenburg S, Vobruba R, Morcillo-Suárez C, Farré X, Marigorta UM, Fehr E, Dickhaus T, Blanchard G, Schunk D, Navarro A, Müller KR.

Sci Rep. 2016 Nov 28;6:36671. doi: 10.1038/srep36671.

4.

More Specific Signal Detection in Functional Magnetic Resonance Imaging by False Discovery Rate Control for Hierarchically Structured Systems of Hypotheses.

Schildknecht K, Tabelow K, Dickhaus T.

PLoS One. 2016 Feb 25;11(2):e0149016. doi: 10.1371/journal.pone.0149016. eCollection 2016.

5.

On an extended interpretation of linkage disequilibrium in genetic case-control association studies.

Dickhaus T, Stange J, Demirhan H.

Stat Appl Genet Mol Biol. 2015 Nov;14(5):497-505. doi: 10.1515/sagmb-2015-0024.

PMID:
26506100
6.

Strategies to improve the performance of rare variant association studies by optimizing the selection of controls.

Zhu N, Heinrich V, Dickhaus T, Hecht J, Robinson PN, Mundlos S, Kamphans T, Krawitz PM.

Bioinformatics. 2015 Nov 15;31(22):3577-83. doi: 10.1093/bioinformatics/btv457. Epub 2015 Aug 6.

PMID:
26249812
7.

Simultaneous Bayesian analysis of contingency tables in genetic association studies.

Dickhaus T.

Stat Appl Genet Mol Biol. 2015 Aug;14(4):347-60. doi: 10.1515/sagmb-2014-0052.

PMID:
26215535
8.

Simultaneous statistical inference for epigenetic data.

Schildknecht K, Olek S, Dickhaus T.

PLoS One. 2015 May 12;10(5):e0125587. doi: 10.1371/journal.pone.0125587. eCollection 2015.

9.

Well-being in amyotrophic lateral sclerosis: a pilot experience sampling study.

Real RG, Dickhaus T, Ludolph A, Hautzinger M, Kübler A.

Front Psychol. 2014 Jul 8;5:704. doi: 10.3389/fpsyg.2014.00704. eCollection 2014.

10.

The cellular ratio of immune tolerance (immunoCRIT) is a definite marker for aggressiveness of solid tumors and may explain tumor dissemination patterns.

Türbachova I, Schwachula T, Vasconcelos I, Mustea A, Baldinger T, Jones KA, Bujard H, Olek A, Olek K, Gellhaus K, Braicu I, Könsgen D, Fryer C, Ravot E, Hellwag A, Westerfeld N, Gruss OJ, Meissner M, Hasan MT, Weber M, Hoffmüller U, Zimmermann S, Loddenkemper C, Mahner S, Babel N, Berns E, Adams R, Zeilinger R, Baron U, Vergote I, Maughan T, Marme F, Dickhaus T, Sehouli J, Olek S.

Epigenetics. 2013 Nov;8(11):1226-35. doi: 10.4161/epi.26334. Epub 2013 Sep 26.

PMID:
24071829
11.

Estimating exome genotyping accuracy by comparing to data from large scale sequencing projects.

Heinrich V, Kamphans T, Stange J, Parkhomchuk D, Hecht J, Dickhaus T, Robinson PN, Krawitz PM.

Genome Med. 2013 Jul 31;5(7):69. doi: 10.1186/gm473. eCollection 2013.

12.

Optimizing event-related potential based brain-computer interfaces: a systematic evaluation of dynamic stopping methods.

Schreuder M, Höhne J, Blankertz B, Haufe S, Dickhaus T, Tangermann M.

J Neural Eng. 2013 Jun;10(3):036025. doi: 10.1088/1741-2560/10/3/036025. Epub 2013 May 20.

PMID:
23685458
13.

Fatty acids modulate cytokine and chemokine secretion of stimulated human whole blood cultures in diabetes.

Simon MC, Bilan S, Nowotny B, Dickhaus T, Burkart V, Schloot NC.

Clin Exp Immunol. 2013 Jun;172(3):383-93. doi: 10.1111/cei.12071.

14.

Binary classification with pFDR-pFNR losses.

Dickhaus T, Blankertz B, Meinecke FC.

Biom J. 2013 May;55(3):463-77. doi: 10.1002/bimj.201200054. Epub 2013 Feb 4.

PMID:
23378199
15.

How to analyze many contingency tables simultaneously in genetic association studies.

Dickhaus T, Straßburger K, Schunk D, Morcillo-Suarez C, Illig T, Navarro A.

Stat Appl Genet Mol Biol. 2012 Jul 27;11(4). pii: /j/sagmb.2012.11.issue-4/1544-6115.1776/1544-6115.1776.xml. doi: 10.1515/1544-6115.1776.

PMID:
22850061
16.

The allele distribution in next-generation sequencing data sets is accurately described as the result of a stochastic branching process.

Heinrich V, Stange J, Dickhaus T, Imkeller P, Krüger U, Bauer S, Mundlos S, Robinson PN, Hecht J, Krawitz PM.

Nucleic Acids Res. 2012 Mar;40(6):2426-31. doi: 10.1093/nar/gkr1073. Epub 2011 Nov 29.

17.

Psychological predictors of SMR-BCI performance.

Hammer EM, Halder S, Blankertz B, Sannelli C, Dickhaus T, Kleih S, Müller KR, Kübler A.

Biol Psychol. 2012 Jan;89(1):80-6. doi: 10.1016/j.biopsycho.2011.09.006. Epub 2011 Sep 29.

PMID:
21964375
18.

Introduction to machine learning for brain imaging.

Lemm S, Blankertz B, Dickhaus T, Müller KR.

Neuroimage. 2011 May 15;56(2):387-99. doi: 10.1016/j.neuroimage.2010.11.004. Epub 2010 Dec 21. Review.

PMID:
21172442
19.

Localization of class-related mu-rhythm desynchronization in motor imagery based brain-computer interface sessions.

Haufe S, Tomioka R, Dickhaus T, Sannelli C, Blankertz B, Nolte G, Muller KR.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5137-40. doi: 10.1109/IEMBS.2010.5626177.

PMID:
21095811
20.

Epigenetic quantification of tumor-infiltrating T-lymphocytes.

Sehouli J, Loddenkemper C, Cornu T, Schwachula T, Hoffmüller U, Grützkau A, Lohneis P, Dickhaus T, Gröne J, Kruschewski M, Mustea A, Turbachova I, Baron U, Olek S.

Epigenetics. 2011 Feb;6(2):236-46. Epub 2011 Feb 1.

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