Yoshihiro Yamanishi is researching Drug as part of the investigation of DrugBank, Drug development and Drug repositioning. He undertakes multidisciplinary investigations into Drug development and Drug in his work. Computational biology is closely attributed to Biological network in his study. His Biological network study frequently draws connections between adjacent fields such as Computational biology. He connects Gene with In silico in his research. Yoshihiro Yamanishi connects In silico with Drug discovery in his research. He merges Drug discovery with Chemical space in his study. In his works, Yoshihiro Yamanishi undertakes multidisciplinary study on Chemical space and Cheminformatics. Yoshihiro Yamanishi incorporates Cheminformatics and DrugBank in his studies.
In his works, Yoshihiro Yamanishi conducts interdisciplinary research on Computational biology and Biochemistry. Yoshihiro Yamanishi performs multidisciplinary studies into Biochemistry and Computational biology in his work. His study connects Interaction network and Gene. Yoshihiro Yamanishi conducts interdisciplinary study in the fields of Bioinformatics and Cheminformatics through his research. Yoshihiro Yamanishi brings together Cheminformatics and Bioinformatics to produce work in his papers. His study deals with a combination of Artificial intelligence and Inference. He brings together Inference and Artificial intelligence to produce work in his papers. He regularly links together related areas like Protein–protein interaction in his Genetics studies. His research combines Genetics and Protein–protein interaction.
In his papers, Yoshihiro Yamanishi integrates diverse fields, such as Gene and KRAS. He performs integrative Biochemistry and Computational biology research in his work. In his works, Yoshihiro Yamanishi undertakes multidisciplinary study on Computational biology and Genetics. Genetics and KRAS are frequently intertwined in his study. In his papers, he integrates diverse fields, such as Bioinformatics and Cheminformatics. His Graph study frequently intersects with other fields, such as Theoretical computer science. His study in Power graph analysis extends to Theoretical computer science with its themes. His Power graph analysis study often links to related topics such as Graph. In his research, Yoshihiro Yamanishi performs multidisciplinary study on Artificial intelligence and Convolutional neural network.
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KEGG for linking genomes to life and the environment
Minoru Kanehisa;Michihiro Araki;Susumu Goto;Masahiro Hattori.
Nucleic Acids Research (2007)
Prediction of drug–target interaction networks from the integration of chemical and genomic spaces
Yoshihiro Yamanishi;Michihiro Araki;Alex Gutteridge;Wataru Honda.
intelligent systems in molecular biology (2008)
Supervised prediction of drug–target interactions using bipartite local models
Kevin Bleakley;Yoshihiro Yamanishi.
Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
Yoshihiro Yamanishi;Masaaki Kotera;Minoru Kanehisa;Susumu Goto.
Protein network inference from multiple genomic data: a supervised approach
Y. Yamanishi;J.-P. Vert;M. Kanehisa.
intelligent systems in molecular biology (2004)
Predicting drug side-effect profiles: a chemical fragment-based approach
Edouard Pauwels;Edouard Pauwels;Edouard Pauwels;Véronique Stoven;Véronique Stoven;Véronique Stoven;Yoshihiro Yamanishi;Yoshihiro Yamanishi;Yoshihiro Yamanishi.
BMC Bioinformatics (2011)
Relating drug–protein interaction network with drug side effects
Sayaka Mizutani;Edouard Pauwels;Véronique Stoven;Susumu Goto.
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction
Hisashi Kashima;Tsuyoshi Kato;Yoshihiro Yamanishi;Masashi Sugiyama.
siam international conference on data mining (2009)
The inference of protein–protein interactions by co-evolutionary analysis is improved by excluding the information about the phylogenetic relationships
Tetsuya Sato;Yoshihiro Yamanishi;Minoru Kanehisa;Hiroyuki Toh.
Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis
Yoshihiro Yamanishi;Jean-Philippe Vert;Akihiro Nakaya;Minoru Kanehisa.
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