Lötsch, Jörn 1962-
Jörn Lötsch researcher
VIAF ID: 5154327941626852044 (Personal)
Permalink: http://viaf.org/viaf/5154327941626852044
Preferred Forms
- 100 0 _ ‡a Jörn Lötsch ‡c researcher
- 100 1 _ ‡a Lötsch, Jörn ‡d 1962-
4xx's: Alternate Name Forms (1)
Works
Title | Sources |
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Agreeable smellers and sensitive neurotics - correlations among personality traits and sensory thresholds | |
Biomedinformatics: a new journal for the new decade to publish biomedical informatics research | |
Brain lesion-pattern analysis in patients with olfactory dysfunctions following head trauma | |
Central encoding of the strength of intranasal chemosensory trigeminal stimuli in a human experimental pain setting | |
Comments on the importance of visualizing the distribution of pain-related data | |
A common HLA-DPA1 variant is associated with hepatitis B virus infection but fails to distinguish active from inactive Caucasian carriers | |
A common human micro-opioid receptor genetic variant diminishes the receptor signaling efficacy in brain regions processing the sensory information of pain | |
Comparative assessment of automated algorithms for the separation of one-dimensional Gaussian mixtures | |
Current evidence for a modulation of low back pain by human genetic variants | |
Current projection methods-induced biases at subgroup detection for machine-learning based data-analysis of biomedical data | |
A data science approach to the selection of most informative readouts of the human intradermal capsaicin pain model to assess pregabalin effects | |
A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions | |
Data visualizations to detect systematic errors in laboratory assay results | |
Delta-9-tetrahydrocannabinol reduces the performance in sensory delayed discrimination tasks : a pharmacological-fMRI study in healthy volunteers | |
Distribution optimization: An evolutionary algorithm to separate Gaussian mixtures | |
Drugs and epigenetic molecular functions. A pharmacological data scientometric analysis | |
Dysregulation of lysophosphatidic acids in multiple sclerosis and autoimmune encephalomyelitis | |
Effect sizes in experimental pain produced by gender, genetic variants and sensitization procedures | |
Einfluss von Polymorphismen der Vitamin D-Systemgene auf die Entwicklung eines Diabetes mellitus Typ 2 sowie die pharmakogenetische Analyse unter Vitamin D Therapie | |
Emergent biomarker derived from next-generation sequencing to identify pain patients requiring uncommonly high opioid doses | |
Enhancing explainable machine learning by reconsidering initially unselected items in feature selection for classification | |
Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans) | |
Explainable artificial intelligence (XAI) in biomedicine: making AI decisions trustworthy for physicians and patients | |
Fundamental Clustering and Projection Suite (FCPS): a dataset collection to test the performance of clustering and data projection algorithms | |
High glucosylceramides and low anandamide contribute to sensory loss and pain in Parkinson's disease | |
High-throughput analysis of global dna methylation using methyl-sensitive digestion | |
human operculo-insular cortex is pain-preferentially but not pain-exclusively activated by trigeminal and olfactory stimuli | |
Interpretation of cluster structures in pain‐related phenotype data using explainable artificial intelligence (XAI) | |
Machine-learned association of next-generation sequencing-derived variants in thermosensitive ion channels genes with human thermal pain sensitivity phenotypes | |
Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments | |
Machine-learning analysis of serum proteomics in neuropathic pain after nerve injury in breast cancer surgery points at chemokine signaling via SIRT2 regulation | |
Machine learning and pathway analysis-based discovery of metabolomic markers relating to chronic pain phenotypes | |
Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy | |
Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy | |
Machine-learning points at endoscopic, quality of life, and olfactory parameters as outcome criteria for endoscopic paranasal sinus surgery in chronic rhinosinusitis | |
Machine learning refutes loss of smell as a risk indicator of diabetes mellitus | |
Next-generation sequencing of the human TRPV1 gene and the regulating co-players LTB4R and LTB4R2 based on a custom AmpliSeq™ panel | |
A non-parametric effect-size measure capturing changes in central tendency and data distribution shape | |
Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling) | |
Pharmacoepigenetics of the role of DNA methylation in μ-opioid receptor expression in different human brain regions | |
Pitfalls of using multinomial regression analysis to identify class-structure relevant variables in biomedical datasets: why a mixture of experts (MOE) approach is better | |
Process pharmacology a pharmacological data science approach to drug development and therapy | |
Quantitative sensory testing response patterns to capsaicin- and ultraviolet-B-induced local skin hypersensitization in healthy subjects : a machine-learned analysis | |
Quick discrimination of A delta and C fiber mediated pain based on three verbal descriptors | |
Receptor tyrosine kinase MET ligand-interaction classified via machine learning from single-particle tracking data | |
Relevanz von post mortem bestimmten Morphinkonzentrationen für die Bestimmung eines möglichen kausalen Zusammenhangs zwischen einer Morphingabe und dem Tod des Patienten | |
Self-ratings of olfactory function and their relation to olfactory test scores. A data science-based analysis in patients with nasal polyposis | |
Serum 4β-hydroxycholesterol increases during fluconazole treatment | |
Sorting of odor dilutions is a meaningful addition to assessments of olfactory function as suggested by machine-learning-based analyses | |
Visually guided preprocessing of bioanalytical laboratory data using an interactive R notebook (pguIMP) |