Sato Laboratory (Biomedical Data Science)
Sato Laboratory (Biomedical Data Science)
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Yutaka Saito
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Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
An efficient algorithm for de novo predictions of biochemical pathways between chemical compounds
Improved measurements of RNA structure conservation with generalized centroid estimators
Fast and accurate clustering of noncoding RNAs using ensembles of sequence alignments and secondary structures
Robust and accurate prediction of noncoding RNAs from aligned sequences
Gradient-based optimization of hyperparameters for base-pairing profile local alignment kernels
Genome-wide searching with base-pairing kernel functions for noncoding RNAs: computational and expression analysis of snoRNA families in Caenorhabditis elegans
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