Author

Han Jing

Chinese Academy of Sciences

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

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Andrew Erich TeschendorffiD· 1 shared Dirk S. PauliD· 1 shared Joni VirtaiD· 1 shared Klaus NordhauseniD· 1 shared

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2018-2018 · peak 1/yr

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Andrew Erich TeschendorffORCID

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1 paper

Recent·Most cited

Tensorial Blind Source Separation for Improved Analysis of Multi-Omic Data

Andrew Erich Teschendorff, Han Jing, Dirk S. Paul, Joni Virta, Klaus Nordhausen

This paper introduces tICA, a tensorial independent component analysis algorithm, which outperforms existing methods in decomposing multi-omic data with reduced computational cost and improved biological insight.

Genome biology · Jun 8, 2018Peer-reviewedBioinformatics