Author

Makoto Yamada

Kyoto UniversityORCID 0000-0001-7508-5094Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:mouse· 1 Approach:statistical model· 1

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Chloé‐Agathe AzencottiD· 1 shared Héctor Climente-GonzáleziD· 1 shared Samuel Kaski AiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Chloé‐Agathe AzencottORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedMay 9, 2019

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data

Héctor Climente-González, Chloé‐Agathe Azencott, Samuel Kaski A, Makoto Yamada

The paper introduces block HSIC Lasso, a nonlinear feature selection method for ultra-high dimensional data, showing it retains more biological information than existing techniques in synthetic and real genomic data.

80 citationstop 2%

mousebulk RNA-seq

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