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Items: 1 to 50 of 61

1.

Computational functional genomics-based reduction of disease-related gene sets to their key components.

Lippmann C, Ultsch A, Lötsch J.

Bioinformatics. 2019 Jul 15;35(14):2362-2370. doi: 10.1093/bioinformatics/bty986.

PMID:
30500872
2.

Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.

Lötsch J, Schiffmann S, Schmitz K, Brunkhorst R, Lerch F, Ferreiros N, Wicker S, Tegeder I, Geisslinger G, Ultsch A.

Sci Rep. 2018 Oct 5;8(1):14884. doi: 10.1038/s41598-018-33077-8.

3.

Comprehensive genetic diagnosis of acute myeloid leukemia by next-generation sequencing.

Mack EKM, Marquardt A, Langer D, Ross P, Ultsch A, Kiehl MG, Mack HID, Haferlach T, Neubauer A, Brendel C.

Haematologica. 2019 Feb;104(2):277-287. doi: 10.3324/haematol.2018.194258. Epub 2018 Sep 6.

4.

A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.

Kringel D, Lippmann C, Parnham MJ, Kalso E, Ultsch A, Lötsch J.

Eur J Pain. 2018 Nov;22(10):1735-1756. doi: 10.1002/ejp.1270. Epub 2018 Jul 13.

5.

Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy.

Lötsch J, Sipilä R, Tasmuth T, Kringel D, Estlander AM, Meretoja T, Kalso E, Ultsch A.

Breast Cancer Res Treat. 2018 Sep;171(2):399-411. doi: 10.1007/s10549-018-4841-8. Epub 2018 Jun 6.

6.

Computational functional genomics-based approaches in analgesic drug discovery and repurposing.

Lippmann C, Kringel D, Ultsch A, Lötsch J.

Pharmacogenomics. 2018 Jun 1;19(9):783-797. doi: 10.2217/pgs-2018-0036. Epub 2018 May 24. Review.

7.

Machine learning in pain research.

Lötsch J, Ultsch A.

Pain. 2018 Apr;159(4):623-630. doi: 10.1097/j.pain.0000000000001118. Review. No abstract available.

8.
9.

Integrated Computational Analysis of Genes Associated with Human Hereditary Insensitivity to Pain. A Drug Repurposing Perspective.

Lötsch J, Lippmann C, Kringel D, Ultsch A.

Front Mol Neurosci. 2017 Aug 8;10:252. doi: 10.3389/fnmol.2017.00252. eCollection 2017.

10.

A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions.

Ultsch A, Lötsch J.

PLoS One. 2017 Aug 10;12(8):e0181572. doi: 10.1371/journal.pone.0181572. eCollection 2017.

11.

Quantitative sensory testing response patterns to capsaicin- and ultraviolet-B-induced local skin hypersensitization in healthy subjects: a machine-learned analysis.

Lötsch J, Geisslinger G, Heinemann S, Lerch F, Oertel BG, Ultsch A.

Pain. 2018 Jan;159(1):11-24. doi: 10.1097/j.pain.0000000000001008.

12.

Machine-Learned Data Structures of Lipid Marker Serum Concentrations in Multiple Sclerosis Patients Differ from Those in Healthy Subjects.

Lötsch J, Thrun M, Lerch F, Brunkhorst R, Schiffmann S, Thomas D, Tegder I, Geisslinger G, Ultsch A.

Int J Mol Sci. 2017 Jun 7;18(6). pii: E1217. doi: 10.3390/ijms18061217.

13.

Machine-learned cluster identification in high-dimensional data.

Ultsch A, Lötsch J.

J Biomed Inform. 2017 Feb;66:95-104. doi: 10.1016/j.jbi.2016.12.011. Epub 2016 Dec 28.

14.

A data science approach to candidate gene selection of pain regarded as a process of learning and neural plasticity.

Ultsch A, Kringel D, Kalso E, Mogil JS, Lötsch J.

Pain. 2016 Dec;157(12):2747-2757.

PMID:
27548044
15.

Machine-learned pattern identification in olfactory subtest results.

Lötsch J, Hummel T, Ultsch A.

Sci Rep. 2016 Oct 20;6:35688. doi: 10.1038/srep35688.

16.

A machine-learned computational functional genomics-based approach to drug classification.

Lötsch J, Ultsch A.

Eur J Clin Pharmacol. 2016 Dec;72(12):1449-1461. Epub 2016 Oct 1.

PMID:
27695919
17.

Pharmacoepigenetics of the role of DNA methylation in μ-opioid receptor expression in different human brain regions.

Knothe C, Oertel BG, Ultsch A, Kettner M, Schmidt PH, Wunder C, Toennes SW, Geisslinger G, Lötsch J.

Epigenomics. 2016 Dec;8(12):1583-1599. Epub 2016 Sep 29.

18.

Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributions.

Aubert AH, Thrun MC, Breuer L, Ultsch A.

Sci Rep. 2016 Aug 30;6:31536. doi: 10.1038/srep31536.

19.

A Unifying Data-Driven Model of Human Olfactory Pathology Representing Known Etiologies of Dysfunction.

Lötsch J, Ultsch A, Hummel T.

Chem Senses. 2016 Aug 26. pii: bjw089. [Epub ahead of print]

PMID:
27566724
20.

Disagreement between two common biomarkers of global DNA methylation.

Knothe C, Shiratori H, Resch E, Ultsch A, Geisslinger G, Doehring A, Lötsch J.

Clin Epigenetics. 2016 May 23;8:60. doi: 10.1186/s13148-016-0227-0. eCollection 2016.

21.

Smell of pain: intersection of nociception and olfaction.

Lötsch J, Hähner A, Gossrau G, Hummel C, Walter C, Ultsch A, Hummel T.

Pain. 2016 Oct;157(10):2152-7. doi: 10.1097/j.pain.0000000000000599. Review. No abstract available.

PMID:
27152690
22.

Emergent biomarker derived from next-generation sequencing to identify pain patients requiring uncommonly high opioid doses.

Kringel D, Ultsch A, Zimmermann M, Jansen JP, Ilias W, Freynhagen R, Griessinger N, Kopf A, Stein C, Doehring A, Resch E, Lötsch J.

Pharmacogenomics J. 2017 Oct;17(5):419-426. doi: 10.1038/tpj.2016.28. Epub 2016 May 3.

23.

Process Pharmacology: A Pharmacological Data Science Approach to Drug Development and Therapy.

Lötsch J, Ultsch A.

CPT Pharmacometrics Syst Pharmacol. 2016 Apr;5(4):192-200. doi: 10.1002/psp4.12072. Epub 2016 Mar 24.

24.

Brain lesion-pattern analysis in patients with olfactory dysfunctions following head trauma.

Lötsch J, Ultsch A, Eckhardt M, Huart C, Rombaux P, Hummel T.

Neuroimage Clin. 2016 Jan 21;11:99-105. doi: 10.1016/j.nicl.2016.01.011. eCollection 2016.

25.

How Many and Which Odor Identification Items Are Needed to Establish Normal Olfactory Function?

Lötsch J, Ultsch A, Hummel T.

Chem Senses. 2016 May;41(4):339-44. doi: 10.1093/chemse/bjw006. Epub 2016 Feb 8.

PMID:
26857742
26.

A brain-lesion pattern based algorithm for the diagnosis of posttraumatic olfactory loss.

Lötsch J, Reither N, Bogdanov V, Hähner A, Ultsch A, Hill K, Hummel T.

Rhinology. 2015 Dec;53(4):365-70. doi: 10.4193/Rhin15.010.

PMID:
26735133
27.

A computational functional genomics based self-limiting self-concentration mechanism of cell specialization as a biological role of jumping genes.

Lötsch J, Ultsch A.

Integr Biol (Camb). 2016 Jan;8(1):91-103. doi: 10.1039/c5ib00203f. Epub 2015 Dec 18.

PMID:
26679724
28.

Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss).

Ultsch A, Thrun MC, Hansen-Goos O, Lötsch J.

Int J Mol Sci. 2015 Oct 28;16(10):25897-911. doi: 10.3390/ijms161025897.

29.

A small yet comprehensive subset of human experimental pain models emerging from correlation analysis with a clinical quantitative sensory testing protocol in healthy subjects.

Lötsch J, Dimova V, Ultsch A, Lieb I, Zimmermann M, Geisslinger G, Oertel BG.

Eur J Pain. 2016 May;20(5):777-89. doi: 10.1002/ejp.803. Epub 2015 Oct 22.

PMID:
26492152
30.

Computational functional genomics based analysis of pain-relevant micro-RNAs.

Lötsch J, Niederberger E, Ultsch A.

Hum Genet. 2015 Nov;134(11-12):1221-38. doi: 10.1007/s00439-015-1600-3. Epub 2015 Sep 18.

PMID:
26385553
31.

Methadone induces hypermethylation of human DNA.

Knothe C, Doehring A, Ultsch A, Lötsch J.

Epigenomics. 2016 Feb;8(2):167-79. doi: 10.2217/epi.15.78. Epub 2015 Sep 4.

PMID:
26340303
32.

Olfactory drug effects approached from human-derived data.

Lötsch J, Knothe C, Lippmann C, Ultsch A, Hummel T, Walter C.

Drug Discov Today. 2015 Nov;20(11):1398-406. doi: 10.1016/j.drudis.2015.06.012. Epub 2015 Jul 6. Review.

PMID:
26160059
33.

Computed ABC Analysis for Rational Selection of Most Informative Variables in Multivariate Data.

Ultsch A, Lötsch J.

PLoS One. 2015 Jun 10;10(6):e0129767. doi: 10.1371/journal.pone.0129767. eCollection 2015.

34.

A more pessimistic life orientation is associated with experimental inducibility of a neuropathy-like pain pattern in healthy individuals.

Dimova V, Oertel BG, Kabakci G, Zimmermann M, Hermens H, Lautenbacher S, Ultsch A, Lötsch J.

J Pain. 2015 Aug;16(8):791-800. doi: 10.1016/j.jpain.2015.05.004. Epub 2015 Jun 6.

PMID:
26056011
35.

Multimodal distribution of human cold pain thresholds.

Lötsch J, Dimova V, Lieb I, Zimmermann M, Oertel BG, Ultsch A.

PLoS One. 2015 May 20;10(5):e0125822. doi: 10.1371/journal.pone.0125822. eCollection 2015.

36.

Pattern of neuropathic pain induced by topical capsaicin application in healthy subjects.

Lötsch J, Dimova V, Hermens H, Zimmermann M, Geisslinger G, Oertel BG, Ultsch A.

Pain. 2015 Mar;156(3):405-14. doi: 10.1097/01.j.pain.0000460328.10515.c9.

PMID:
25687540
37.

Drug-target based cross-sectional analysis of olfactory drug effects.

Lötsch J, Daiker H, Hähner A, Ultsch A, Hummel T.

Eur J Clin Pharmacol. 2015 Apr;71(4):461-71. doi: 10.1007/s00228-015-1814-2. Epub 2015 Feb 11.

PMID:
25666029
38.

What do all the (human) micro-RNAs do?

Ultsch A, Lötsch J.

BMC Genomics. 2014 Nov 18;15:976. doi: 10.1186/1471-2164-15-976.

39.

R-flurbiprofen attenuates experimental autoimmune encephalomyelitis in mice.

Schmitz K, de Bruin N, Bishay P, Männich J, Häussler A, Altmann C, Ferreirós N, Lötsch J, Ultsch A, Parnham MJ, Geisslinger G, Tegeder I.

EMBO Mol Med. 2014 Nov;6(11):1398-422. doi: 10.15252/emmm.201404168.

40.

Human models of pain for the prediction of clinical analgesia.

Lötsch J, Oertel BG, Ultsch A.

Pain. 2014 Oct;155(10):2014-21. doi: 10.1016/j.pain.2014.07.003. Epub 2014 Jul 11.

PMID:
25020003
41.

Effects of 20 mg oral Δ(9) -tetrahydrocannabinol on the olfactory function of healthy volunteers.

Walter C, Oertel BG, Ludyga D, Ultsch A, Hummel T, Lötsch J.

Br J Clin Pharmacol. 2014 Nov;78(5):961-9. doi: 10.1111/bcp.12415.

42.

Functional abstraction as a method to discover knowledge in gene ontologies.

Ultsch A, Lötsch J.

PLoS One. 2014 Feb 25;9(2):e90191. doi: 10.1371/journal.pone.0090191. eCollection 2014.

43.

Functional genomics suggest neurogenesis in the adult human olfactory bulb.

Lötsch J, Schaeffeler E, Mittelbronn M, Winter S, Gudziol V, Schwarzacher SW, Hummel T, Doehring A, Schwab M, Ultsch A.

Brain Struct Funct. 2014 Nov;219(6):1991-2000. doi: 10.1007/s00429-013-0618-3. Epub 2013 Aug 9.

PMID:
23928746
44.

A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain.

Lötsch J, Ultsch A.

J Biomed Inform. 2013 Oct;46(5):921-8. doi: 10.1016/j.jbi.2013.07.010. Epub 2013 Jul 27.

45.

Non-invasive combined surrogates of remifentanil blood concentrations with relevance to analgesia.

Lötsch J, Skarke C, Darimont J, Zimmermann M, Bräutigam L, Geisslinger G, Ultsch A, Oertel BG.

Naunyn Schmiedebergs Arch Pharmacol. 2013 Oct;386(10):865-73. doi: 10.1007/s00210-013-0889-5. Epub 2013 Jun 18.

PMID:
23775505
46.

Functional genomics of pain in analgesic drug development and therapy.

Lötsch J, Doehring A, Mogil JS, Arndt T, Geisslinger G, Ultsch A.

Pharmacol Ther. 2013 Jul;139(1):60-70. doi: 10.1016/j.pharmthera.2013.04.004. Epub 2013 Apr 6. Review.

PMID:
23567662
47.

The pharmacogenetic background of hepatitis C treatment.

Schlecker C, Ultsch A, Geisslinger G, Lötsch J.

Mutat Res Rev Mutat Res. 2012 Jul-Sep;751(1):36-48. doi: 10.1016/j.mrrev.2012.02.001. Epub 2012 Mar 3.

PMID:
22409946
48.

Single and combined IL28B, ITPA and SLC28A3 host genetic markers modulating response to anti-hepatitis C therapy.

Lötsch J, Hofmann WP, Schlecker C, Zeuzem S, Geisslinger G, Ultsch A, Doehring A.

Pharmacogenomics. 2011 Dec;12(12):1729-40. doi: 10.2217/pgs.11.99.

PMID:
22118055
49.

Overexpression of TOSO in CLL is triggered by B-cell receptor signaling and associated with progressive disease.

Pallasch CP, Schulz A, Kutsch N, Schwamb J, Hagist S, Kashkar H, Ultsch A, Wickenhauser C, Hallek M, Wendtner CM.

Blood. 2008 Nov 15;112(10):4213-9. doi: 10.1182/blood-2008-05-157255. Epub 2008 Aug 15. Erratum in: Blood. 2018 May 17;131(20):2272.

PMID:
18708628
50.

Targeting lipid metabolism by the lipoprotein lipase inhibitor orlistat results in apoptosis of B-cell chronic lymphocytic leukemia cells.

Pallasch CP, Schwamb J, Königs S, Schulz A, Debey S, Kofler D, Schultze JL, Hallek M, Ultsch A, Wendtner CM.

Leukemia. 2008 Mar;22(3):585-92. Epub 2007 Dec 13.

PMID:
18079738

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