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Scientific Reports|October 21, 2016
Machine-learned pattern identification in olfactory subtest resultsJörn Lötsch, Thomas Hummel, Alfred UltschBioinformatics (Oxford, England)|December 1, 2018
Computational functional genomics-based reduction of disease-related gene sets to their key componentsCatharina Lippmann, Alfred Ultsch, Jörn LötschEuropean Journal of Anaesthesiology|February 7, 2020
Data-science-based subgroup analysis of persistent pain during 3 years after breast cancer surgery: A prospective cohort studyJörn Lötsch, Alfred Ultsch, Eija KalsoChemical Senses|February 10, 2016
How Many and Which Odor Identification Items Are Needed to Establish Normal Olfactory Function?Jörn Lötsch, Alfred Ultsch, Thomas HummelChemical Senses|August 28, 2016
A Unifying Data-Driven Model of Human Olfactory Pathology Representing Known Etiologies of DysfunctionJörn Lötsch, Alfred Ultsch, Thomas HummelHuman Genetics|September 20, 2015
Computational functional genomics based analysis of pain-relevant micro-RNAsJörn Lötsch, Ellen Niederberger, Alfred UltschScientific Reports|January 22, 2020
Distribution Optimization: An evolutionary algorithm to separate Gaussian mixturesFlorian Lerch, Alfred Ultsch, Jörn LötschPlos One|August 5, 2021
Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling)Jörn Lötsch, Sebastian Malkusch, Alfred UltschScientific Reports|October 20, 2023
A perspective of randomness in a clinical test of olfactory performanceJörn Lötsch, Thomas Hummel, Alfred UltschPain|July 15, 2014
Human models of pain for the prediction of clinical analgesiaJörn Lötsch, Bruno G Oertel, Alfred UltschPageof 8