His study ties his expertise on Internal medicine together with the subject of Kidney disease. His study ties his expertise on Creatinine together with the subject of Internal medicine. He undertakes multidisciplinary studies into Creatinine and Renal function in his work. Fabian J. Theis combines Renal function and Kidney disease in his research. As part of his studies on Population, he frequently links adjacent subjects like Environmental health. His study on Environmental health is mostly dedicated to connecting different topics, such as Population. His Endocrinology study frequently draws connections between adjacent fields such as Uric acid. His Endocrinology research extends to Uric acid, which is thematically connected. He combines Gene and Genetics in his studies.
His study explores the link between Ubiquitous computing and topics such as Human–computer interaction that cross with problems in Usability. Fabian J. Theis brings together Usability and Human–computer interaction to produce work in his papers. In his study, Law is strongly linked to Health care, which falls under the umbrella field of Economic growth. Much of his study explores Law relationship to Health care. His Data mining study frequently links to other fields, such as Data integration and Data pre-processing. He performs multidisciplinary study in Data pre-processing and Data mining in his work. His Psychiatry research incorporates elements of Medical education and Psychosocial. Fabian J. Theis brings together Medical education and Psychiatry to produce work in his papers. His Database study typically links adjacent topics like Data integration, System integration and Scalability.
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The Human Cell Atlas
Aviv Regev;Aviv Regev;Aviv Regev;Sarah A Teichmann;Sarah A Teichmann;Sarah A Teichmann;Eric S Lander;Eric S Lander;Eric S Lander;Ido Amit.
SCANPY : large-scale single-cell gene expression data analysis
F. Alexander Wolf;Philipp Angerer;Fabian J. Theis.
Genome Biology (2018)
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
Florian Buettner;Kedar N Natarajan;Kedar N Natarajan;F Paolo Casale;Valentina Proserpio;Valentina Proserpio.
Nature Biotechnology (2015)
An atlas of genetic influences on human blood metabolites
So-Youn Shin;Eric B Fauman;Ann-Kristin Petersen;Jan Krumsiek.
Nature Genetics (2014)
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart.
Nature Genetics (2013)
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
F. Alexander Wolf;Fiona K. Hamey;Mireya Plass;Jordi Solana.
Genome Biology (2019)
Diffusion pseudotime robustly reconstructs lineage branching
Laleh Haghverdi;Maren Büttner;F Alexander Wolf;Florian Buettner.
Nature Methods (2016)
A cellular census of human lungs identifies novel cell states in health and in asthma.
Felipe A. Vieira Braga;Gozde Kar;Marijn Berg;Orestes A. Carpaij.
Nature Medicine (2019)
Sparse component analysis and blind source separation of underdetermined mixtures
P. Georgiev;F. Theis;A. Cichocki.
IEEE Transactions on Neural Networks (2005)
Hypergraphs and cellular networks.
Steffen Klamt;Utz-Uwe Haus;Fabian J. Theis.
PLOS Computational Biology (2009)
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