Resultats de la cerca - Sakakibara, Yasubumi

Convolutional neural networks for classification of alignments of non-coding RNA sequences per Aoki, Genta, Sakakibara, Yasubumi

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Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data per Jayakumar, Vasanthan, Sakakibara, Yasubumi

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Informative RNA base embedding for RNA structural alignment and clustering by deep representation learning per Akiyama, Manato, Sakakibara, Yasubumi

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An extended genovo metagenomic assembler by incorporating paired-end information per , Afiahayati, Sato, Kengo, Sakakibara, Yasubumi

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MetaVelvet-SL: an extension of the Velvet assembler to a de novo metagenomic assembler utilizing supervised learning per Afiahayati, Sato, Kengo, Sakakibara, Yasubumi

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MetaVelvet-DL: a MetaVelvet deep learning extension for de novo metagenome assembly per Liang, Kuo-ching, Sakakibara, Yasubumi

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Identifying cooperative transcriptional regulations using protein–protein interactions per Nagamine, Nobuyoshi, Kawada, Yuji, Sakakibara, Yasubumi

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Chaperone Therapy for Neuronopathic Lysosomal Diseases: Competitive Inhibitors as Chemical Chaperones for Enhancement of Mutant Enzyme Activities per Suzuki, Yoshiyuki, Ogawa, Seiichiro, Sakakibara, Yasubumi

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Robust and accurate prediction of noncoding RNAs from aligned sequences per Saito, Yutaka, Sato, Kengo, Sakakibara, Yasubumi

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Fast and accurate clustering of noncoding RNAs using ensembles of sequence alignments and secondary structures per Saito, Yutaka, Sato, Kengo, Sakakibara, Yasubumi

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RNA secondary structure prediction using deep learning with thermodynamic integration per Sato, Kengo, Akiyama, Manato, Sakakibara, Yasubumi

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Deep learning integration of molecular and interactome data for protein–compound interaction prediction per Watanabe, Narumi, Ohnuki, Yuuto, Sakakibara, Yasubumi

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A Max-Margin Model for Predicting Residue—Base Contacts in Protein–RNA Interactions per Kashiwagi, Shunya, Sato, Kengo, Sakakibara, Yasubumi

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Directed acyclic graph kernels for structural RNA analysis per Sato, Kengo, Mituyama, Toutai, Asai, Kiyoshi, Sakakibara, Yasubumi

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Murasaki: A Fast, Parallelizable Algorithm to Find Anchors from Multiple Genomes per Popendorf, Kris, Tsuyoshi, Hachiya, Osana, Yasunori, Sakakibara, Yasubumi

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Improved Measurements of RNA Structure Conservation with Generalized Centroid Estimators per Okada, Yohei, Saito, Yutaka, Sato, Kengo, Sakakibara, Yasubumi

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MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads per Namiki, Toshiaki, Hachiya, Tsuyoshi, Tanaka, Hideaki, Sakakibara, Yasubumi

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An efficient algorithm for de novo predictions of biochemical pathways between chemical compounds per Nakamura, Masaomi, Hachiya, Tsuyoshi, Saito, Yutaka, Sato, Kengo, Sakakibara, Yasubumi

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Convolutional neural network based on SMILES representation of compounds for detecting chemical motif per Hirohara, Maya, Saito, Yutaka, Koda, Yuki, Sato, Kengo, Sakakibara, Yasubumi

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Screening for candidate genes involved in the production of mouse subventricular zone proliferative cells and an estimation of their changes in evolutionary pressure during primate... per Tabata, Hidenori, Hachiya, Tsuyoshi, Nagata, Koh-ichi, Sakakibara, Yasubumi, Nakajima, Kazunori

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