| TRANSDIRE: data-driven direct reprogramming by a pioneer factor-guided trans-omics approach | 0 | 0.34 | 2022 |
| Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses | 0 | 0.34 | 2022 |
| Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules | 0 | 0.34 | 2022 |
| Scaffold-Retained Structure Generator to Exhaustively Create Molecules in an Arbitrary Chemical Space | 0 | 0.34 | 2022 |
| Triomphe: Transcriptome-Based Inference And Generation Of Molecules With Desired Phenotypes By Machine Learning | 0 | 0.34 | 2021 |
| Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targets. | 0 | 0.34 | 2020 |
| Ranking Molecules with Vanishing Kernels and a Single Parameter: Active Applicability Domain Included. | 0 | 0.34 | 2020 |
| Space-Efficient Feature Maps for String Alignment Kernels. | 0 | 0.34 | 2020 |
| Chemoinformatics and structural bioinformatics in OCaml. | 0 | 0.34 | 2019 |
| Space-Efficient Feature Maps For String Alignment Kernels | 0 | 0.34 | 2019 |
| Network-based characterization of drug-protein interaction signatures with a space-efficient approach. | 0 | 0.34 | 2019 |
| Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. | 0 | 0.34 | 2019 |
| A Distance-Based Boolean Applicability Domain for Classification of High Throughput Screening Data. | 0 | 0.34 | 2019 |
| Scalable Alignment Kernels via Space-Efficient Feature Maps. | 0 | 0.34 | 2018 |
| Dual Convolutional Neural Network for Graph of Graphs Link Prediction. | 1 | 0.34 | 2018 |
| Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices | 2 | 0.39 | 2016 |
| Simultaneous prediction of enzyme orthologs from chemical transformation patterns for de novo metabolic pathway reconstruction. | 1 | 0.35 | 2016 |
| Large-Scale Prediction of Beneficial Drug Combinations Using Drug Efficacy and Target Profiles. | 5 | 0.41 | 2015 |
| Metabolome-scale de novo pathway reconstruction using regioisomer-sensitive graph alignments | 3 | 0.38 | 2015 |
| Target-Based Drug Repositioning Using Large-Scale Chemical-Protein Interactome Data. | 4 | 0.43 | 2015 |
| Systematic Drug Repositioning for a Wide Range of Diseases with Integrative Analyses of Phenotypic and Molecular Data. | 9 | 0.54 | 2015 |
| Mining Discriminative Patterns from Graph Data with Multiple Labels and Its Application to Quantitative Structure-Activity Relationship (QSAR) Models. | 0 | 0.34 | 2015 |
| Metabolome-scale prediction of intermediate compounds in multistep metabolic pathways with a recursive supervised approach. | 5 | 0.40 | 2014 |
| DINIES: drug-target interaction network inference engine based on supervised analysis. | 15 | 0.72 | 2014 |
| Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets. | 11 | 0.52 | 2013 |
| Succinct interval-splitting tree for scalable similarity search of compound-protein pairs with property constraints | 1 | 0.36 | 2013 |
| KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics. | 11 | 0.51 | 2013 |
| Scalable prediction of compound-protein interactions using minwise hashing. | 13 | 0.55 | 2013 |
| Inferring protein domains associated with drug side effects based on drug-target interaction network. | 7 | 0.43 | 2013 |
| KEGG OC: a large-scale automatic construction of taxonomy-based ortholog clusters. | 19 | 0.87 | 2013 |
| Relating drug-protein interaction network with drug side effects. | 33 | 1.28 | 2012 |
| Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers. | 15 | 0.58 | 2012 |
| Drug target prediction using adverse event report systems: a pharmacogenomic approach. | 19 | 0.82 | 2012 |
| GENIES: gene network inference engine based on supervised analysis. | 13 | 0.58 | 2012 |
| Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces. | 13 | 0.75 | 2012 |
| Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions. | 21 | 0.77 | 2011 |
| Predicting drug side-effect profiles: a chemical fragment-based approach. | 57 | 1.94 | 2011 |
| Cartesian Kernel: An Efficient Alternative To The Pairwise Kernel | 4 | 0.38 | 2010 |
| Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework. | 81 | 3.09 | 2010 |
| Supervised prediction of drug-target interactions using bipartite local models. | 125 | 3.77 | 2009 |
| E-zyme: predicting potential EC numbers from the chemical transformation pattern of substrate-product pairs. | 10 | 2.37 | 2009 |
| Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. | 6 | 0.49 | 2009 |
| Supervised Bipartite Graph Inference | 18 | 1.42 | 2008 |
| Prediction of drug-target interaction networks from the integration of chemical and genomic spaces. | 161 | 5.48 | 2008 |
| KEGG for linking genomes to life and the environment. | 413 | 31.82 | 2008 |
| Glycan classification with tree kernels. | 17 | 1.04 | 2007 |
| Inference of protein-protein interactions by using co-evolutionary information | 0 | 0.34 | 2007 |
| Partial correlation coefficient between distance matrices as a new indicator of protein-protein interactions. | 5 | 0.55 | 2006 |
| Supervised enzyme network inference from the integration of genomic data and chemical information. | 40 | 2.25 | 2005 |
| The inference of protein-protein interactions by co-evolutionary analysis is improved by excluding the information about the phylogenetic relationships. | 22 | 1.39 | 2005 |
