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