Riemenschneider M - Search Results

1

SHIVA - a web application for drug resistance and tropism testing in HIV.

Riemenschneider M, Hummel T, Heider D. Riemenschneider M, et al. BMC Bioinformatics. 2016 Aug 22;17(1):314. doi: 10.1186/s12859-016-1179-2. BMC Bioinformatics. 2016. PMID: 27549230 Free PMC article.

2

Current Approaches in Computational Drug Resistance Prediction in HIV.

Riemenschneider M, Heider D. Riemenschneider M, et al. Curr HIV Res. 2016;14(4):307-15. doi: 10.2174/1570162x14666160321120232. Curr HIV Res. 2016. PMID: 26996942 Review.

3

Genotypic Prediction of Co-receptor Tropism of HIV-1 Subtypes A and C.

Riemenschneider M, Cashin KY, Budeus B, Sierra S, Shirvani-Dastgerdi E, Bayanolhagh S, Kaiser R, Gorry PR, Heider D. Riemenschneider M, et al. Sci Rep. 2016 Apr 29;6:24883. doi: 10.1038/srep24883. Sci Rep. 2016. PMID: 27126912 Free PMC article.

4

eccCL: parallelized GPU implementation of Ensemble Classifier Chains.

Riemenschneider M, Herbst A, Rasch A, Gorlatch S, Heider D. Riemenschneider M, et al. BMC Bioinformatics. 2017 Aug 17;18(1):371. doi: 10.1186/s12859-017-1783-9. BMC Bioinformatics. 2017. PMID: 28818036 Free PMC article.

5

SCOTCH: subtype A coreceptor tropism classification in HIV-1.

Löchel HF, Riemenschneider M, Frishman D, Heider D. Löchel HF, et al. Among authors: riemenschneider m. Bioinformatics. 2018 Aug 1;34(15):2575-2580. doi: 10.1093/bioinformatics/bty170. Bioinformatics. 2018. PMID: 29554213

6

Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification.

Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. Riemenschneider M, et al. BioData Min. 2016 Feb 29;9:10. doi: 10.1186/s13040-016-0089-1. eCollection 2016. BioData Min. 2016. PMID: 26933450 Free PMC article.

7

Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers.

Dybowski JN, Riemenschneider M, Hauke S, Pyka M, Verheyen J, Hoffmann D, Heider D. Dybowski JN, et al. Among authors: riemenschneider m. BioData Min. 2011 Nov 14;4:26. doi: 10.1186/1756-0381-4-26. BioData Min. 2011. PMID: 22082002 Free PMC article.

8

Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach.

Neumann U, Riemenschneider M, Sowa JP, Baars T, Kälsch J, Canbay A, Heider D. Neumann U, et al. Among authors: riemenschneider m. BioData Min. 2016 Nov 18;9:36. doi: 10.1186/s13040-016-0114-4. eCollection 2016. BioData Min. 2016. PMID: 27891179 Free PMC article.

9

In Acute Myocardial Infarction Liver Parameters Are Associated With Stenosis Diameter.

Baars T, Neumann U, Jinawy M, Hendricks S, Sowa JP, Kälsch J, Riemenschneider M, Gerken G, Erbel R, Heider D, Canbay A. Baars T, et al. Among authors: riemenschneider m. Medicine (Baltimore). 2016 Feb;95(6):e2807. doi: 10.1097/MD.0000000000002807. Medicine (Baltimore). 2016. PMID: 26871849 Free PMC article.

10

A systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer risk.

Elands RJ, Simons CC, Riemenschneider M, Isaacs A, Schouten LJ, Verhage BA, Van Steen K, Godschalk RW, van den Brandt PA, Stoll M, Weijenberg MP. Elands RJ, et al. Among authors: riemenschneider m. Sci Rep. 2017 Jan 24;7:41034. doi: 10.1038/srep41034. Sci Rep. 2017. PMID: 28117334 Free PMC article.

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