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FFCA: a feasibility-based method for flux coupling analysis of metabolic networks
by
David, Laszlo
,
Marashi, Sayed-Amir
,
Larhlimi, Abdelhalim
,
Mieth, Bettina
,
Bockmayr, Alexander
Published in
BMC bioinformatics
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Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data
by
Mieth, Bettina
,
Hockley, James R F
,
Görnitz, Nico
,
Vidovic, Marina M-C
,
Müller, Klaus-Robert
,
Gutteridge, Alex
,
Ziemek, Daniel
Published in
Scientific reports
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Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies
by
Mieth, Bettina
,
Kloft, Marius
,
Rodríguez, Juan Antonio
,
Sonnenburg, Sören
,
Vobruba, Robin
,
Morcillo-Suárez, Carlos
,
Farré, Xavier
,
Marigorta, Urko M
,
Fehr, Ernst
,
Dickhaus, Thorsten
,
Blanchard, Gilles
,
Schunk, Daniel
,
Navarro, Arcadi
,
Müller, Klaus-Robert
Published in
Scientific reports
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DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies
by
Mieth, Bettina
,
Rozier, Alexandre
,
Rodriguez, Juan Antonio
,
Höhne, Marina M C
,
Görnitz, Nico
,
Müller, Klaus-Robert
Published in
NAR genomics and bioinformatics
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