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Bioinformatics (Oxford, England)
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July 2, 2013
Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets
Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, et al.
Bioinformatics (Oxford, England)
|
September 11, 2012
Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers
Yasuo Tabei, Edouard Pauwels, Véronique Stoven, et al.
Scientific Reports
|
January 11, 2018
Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures
Ryusuke Sawada, Michio Iwata, Yasuo Tabei, et al.
Proteins
|
November 25, 2011
PDB-scale analysis of known and putative ligand-binding sites with structural sketches
Jun-Ichi Ito, Yasuo Tabei, Kana Shimizu, et al.
Nucleic Acids Research
|
December 3, 2011
PoSSuM: a database of similar protein-ligand binding and putative pockets
Jun-Ichi Ito, Yasuo Tabei, Kana Shimizu, et al.
BMC Systems Biology
|
February 26, 2014
Inferring protein domains associated with drug side effects based on drug-target interaction network
Hiroaki Iwata, Sayaka Mizutani, Yasuo Tabei, et al.
BMC Systems Biology
|
February 26, 2014
KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics
Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, et al.
Bioinformatics (Oxford, England)
|
June 17, 2014
Metabolome-scale prediction of intermediate compounds in multistep metabolic pathways with a recursive supervised approach
Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, et al.
Nucleic Acids Research
|
April 29, 2008
Software.ncrna.org: web servers for analyses of RNA sequences
Kiyoshi Asai, Hisanori Kiryu, Michiaki Hamada, et al.
Bioinformatics (Oxford, England)
|
September 13, 2019
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm
Michio Iwata, Longhao Yuan, Qibin Zhao, et al.
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of 2
Search research articles
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Showing results (11-20 of 20) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 20 results.
Bioinformatics (Oxford, England)
|
July 2, 2013
Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets
Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, et al.
Bioinformatics (Oxford, England)
|
September 11, 2012
Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers
Yasuo Tabei, Edouard Pauwels, Véronique Stoven, et al.
Scientific Reports
|
January 11, 2018
Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures
Ryusuke Sawada, Michio Iwata, Yasuo Tabei, et al.
Proteins
|
November 25, 2011
PDB-scale analysis of known and putative ligand-binding sites with structural sketches
Jun-Ichi Ito, Yasuo Tabei, Kana Shimizu, et al.
Nucleic Acids Research
|
December 3, 2011
PoSSuM: a database of similar protein-ligand binding and putative pockets
Jun-Ichi Ito, Yasuo Tabei, Kana Shimizu, et al.
BMC Systems Biology
|
February 26, 2014
Inferring protein domains associated with drug side effects based on drug-target interaction network
Hiroaki Iwata, Sayaka Mizutani, Yasuo Tabei, et al.
BMC Systems Biology
|
February 26, 2014
KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics
Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, et al.
Bioinformatics (Oxford, England)
|
June 17, 2014
Metabolome-scale prediction of intermediate compounds in multistep metabolic pathways with a recursive supervised approach
Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, et al.
Nucleic Acids Research
|
April 29, 2008
Software.ncrna.org: web servers for analyses of RNA sequences
Kiyoshi Asai, Hisanori Kiryu, Michiaki Hamada, et al.
Bioinformatics (Oxford, England)
|
September 13, 2019
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm
Michio Iwata, Longhao Yuan, Qibin Zhao, et al.
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of 2