Optimization of the Mainzelliste software for fast privacy-preserving record linkage. J. Transl. Med., (19)1:33, Springer Science and Business Media LLC, January 2021. [PUMA: Blocking; Locality-sensitive Mainzelliste; Privacy-preserving hashing; linkage record]
Proteomics to improve phenotyping in obese patients with heart failure with preserved ejection fraction. Eur. J. Heart Fail., (23)10:1633--1644, Wiley, October 2021. [PUMA: Biomarker; Fibrosis; Heart Inflammation; Obesity; Proteomics ejection failure fraction; preserved topic_lifescience with]
Automated algorithm selection on continuous black-box problems by combining Exploratory Landscape Analysis and machine learning. Evol. Comput., (27)1:99--127, MIT Press, 2019. [PUMA: Automated algorithm analysis; black-box continuous exploratory landscape learning; machine optimization. optimization; selection; single-objective]
Memory-efficient deep learning on a SpiNNaker 2 prototype. Front. Neurosci., (12):840, Frontiers Media SA, November 2018. [PUMA: SpiNNaker; deep efficient energy footprint; hardware; memory parallelism; pruning; rewiring; sparsity]
Automated algorithm selection: Survey and perspectives. Evol. Comput., (27)1:3--45, MIT Press, 2019. [PUMA: Automated algorithm analysis; approaches; automated combinatorial configuration; continuous data exploratory feature-based landscape learning; machine metalearning optimisation; selection; streams.;]
Search dynamics on multimodal multiobjective problems. Evol. Comput., (27)4:577--609, MIT Press - Journals, 2019. [PUMA: Multiobjective analysis; ascent; gradient hypervolume landscape multimodality; optimization. optimization; set-based]
Relationship between fermented dairy consumption, circulating short-chain acylcarnitines and angiographic severity of coronary artery disease. Nutr. Metab. Cardiovasc. Dis., (30)10:1662--1672, Elsevier BV, September 2020. [PUMA: Acetylcarnitine; Coronary Fermented Metabolomics artery dairy disease; products;]
Common variants in the CLDN2-MORC4 and PRSS1-PRSS2 loci confer susceptibility to acute pancreatitis. Pancreatology, (18)5:477--481, Elsevier BV, July 2018. [PUMA: Acute Genetics; Risk Single factors; nucleotide pancreatitis; polymorphisms]
Analysis of GPRC6A variants in different pancreatitis etiologies. Pancreatology, (20)7:1262--1267, Elsevier BV, October 2020. [PUMA: Calcium; G-Protein Genetics; Inflammation; Pancreatitis coupled receptor; topic_lifescience]
Classification of hyperspectral endocrine tissue images using support vector machines. Int. J. Med. Robot., (16)5:1--10, Wiley, October 2020. [PUMA: and assisted computer guided head imaged imaging; intraoperative neck; surgery; thyroidectomy]
Two for One: Querying Property Graph Databases Using SPARQL via Gremlinator. Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Association for Computing Machinery, New York, NY, USA, 2018. [PUMA: SPARQL, graph gremlin, gremlinator, property traversal,] URL
Coordinate systems for supergenomes. Algorithms Mol. Biol., (13)1:15, Springer Science and Business Media LLC, September 2018. [PUMA: Betweenness Big Colored Combinatorial Comparative Graph data; genomics; multigraph; optimization; ordering; theory transcriptomics;]
RosettaCM for antibodies with very long HCDR3s and low template availability. Proteins, (89)11:1458--1472, Wiley, November 2021. [PUMA: Rosetta; antibody; benchmark; homology loop modeling; prediction; structure topic_lifescience]
Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis. J. Data and Information Quality, (9)3Association for Computing Machinery, New York, NY, USA, February 2018. [PUMA: DeFacto, analysis benchmark, checking, data data, exploratory fact linked quality, trustworthiness,] URL
Proteomic profiling of low muscle and high fat mass: a machine learning approach in the KORA S4/FF4 study. J. Cachexia Sarcopenia Muscle, (12)4:1011--1023, Wiley, August 2021. [PUMA: Appendicular Body Fat Machine Muscle Proteomics fat index; learning; mass mass; muscle skeletal]
Dynamics of cytokines, immune cell counts and disease severity in patients with community-acquired pneumonia - Unravelling potential causal relationships. Cytokine, (136)155263:155263, Elsevier BV, December 2020. [PUMA: Community-acquired Cytokines; Systemic Time inflammatory pneumonia; response; series]
Comprehensive benchmarking of software for mapping whole genome bisulfite data: from read alignment to DNA methylation analysis. Brief. Bioinform., (22)5Oxford University Press (OUP), September 2021. [PUMA: DNA WGBS benchmark; bisulfite epigenetics; genome mapping methylation; non-model plants; sequencing software; whole]
Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, May 2021. [PUMA: association cancer; chronic deep learning; pancreatic pancreatitis; study topic_lifescience transcriptome-wide]
HLA class II allele analyses implicate common genetic components in type 1 and non-insulin-treated type 2 diabetes. J. Clin. Endocrinol. Metab., (105)3:e245--e254, The Endocrine Society, March 2020. [PUMA: 1 2 HLA II; association; class diabetes diabetes; genotype haplotype; imputation; nucleotide polymorphism; single type]
The novel cystatin C, lactate, interleukin-6, and N-terminal pro-B-type natriuretic peptide (CLIP)-based mortality risk score in cardiogenic shock after acute myocardial infarction. Eur. Heart J., (42)24:2344--2352, Oxford University Press (OUP), June 2021. [PUMA: Biomarker; Cardiogenic Myocardial Prognosis; Score; infarction; shock]