Author

Tamara J. Blätte

University Hospital Ulm

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

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Harald BinderiD· 1 shared Lars BullingeriD· 1 shared Moritz HessiD· 1 shared Stefan LenziD· 1 shared

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2017-2017 · peak 1/yr

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1 shared paperBioinformatics

Harald BinderORCID

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1 paper

Recent·Most cited

Partitioned learning of deep Boltzmann machines for SNP data

Moritz Hess, Stefan Lenz, Tamara J. Blätte, Lars Bullinger, Harald Binder

The paper introduces a partitioned learning approach for deep Boltzmann machines to analyze SNP data, showing it can uncover complex SNP patterns and improve survival prediction in acute myeloid lymphoma patients.

Bioinformatics · Jun 23, 2017Peer-reviewedBioinformatics