Author

S. Matsukuma

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Evolutionary Biology· 1

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Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Organism:human· 1 Organism:multiple species· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

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D. Nakamura· 1 shared H. Fuji· 1 shared K. Okano· 1 shared N. Satou· 1 shared T. Konishi· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperEvolutionary Biology

D. Nakamura

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1 paper

Recent·Most cited

Principal Component Analysis applied directly to Sequence Matrix

T. Konishi, S. Matsukuma, H. Fuji, D. Nakamura, N. Satou, K. Okano

The paper applies PCA directly to sequence matrices to better analyze sequence data by converting it to boolean vectors, improving resolution and revealing directional differences and causative nucleotides.

bioRxiv · May 31, 2018Evolutionary Biology