Lista de obras - Heng Luo - Dominio Público Uruguay

A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages

artículo científico publicado en 2014

Applying network analysis and Nebula (neighbor-edges based and unbiased leverage algorithm) to ToxCast data

artículo científico publicado en 2016

Combining Docking Pose Rank and Structure with Deep Learning Improves Protein-Ligand Binding Mode Prediction over a Baseline Docking Approach

artículo científico publicado en 2020

Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium

artículo científico publicado en 2015

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

artículo científico publicado en 2015

Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists

artículo científico publicado en 2014

DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome

artículo científico publicado en 2014

DPDR-CPI, a server that predicts Drug Positioning and Drug Repositioning via Chemical-Protein Interactome

artículo científico publicado en 2016

DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactome ⬇️

artículo científico publicado el 10 de mayo de 2011

Development and Validation of Decision Forest Model for Estrogen Receptor Binding Prediction of Chemicals Using Large Data Sets

artículo científico publicado en 2015

Drug repositioning for diabetes based on 'omics' data mining

artículo científico publicado en 2015

Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol A replacement compounds

artículo científico publicado en 2015

Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome--clozapine-induced agranulocytosis as a case study

artículo científico publicado en 2011

HLADR: a database system for enhancing the discovery of biomarkers for predicting human leukocyte antigen-mediated idiosyncratic adverse drug reactions.

artículo científico publicado en 2015

Haystack, a web-based tool for metabolomics research

artículo científico publicado en 2014

Machine Learning Methods for Predicting HLA-Peptide Binding Activity

artículo científico publicado en 2015

Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints

artículo científico publicado en 2020

Molecular Docking for Identification of Potential Targets for Drug Repurposing

artículo científico publicado en 2016

Molecular Docking for Prediction and Interpretation of Adverse Drug Reactions

artículo científico publicado en 2018

Molecular docking to identify associations between drugs and class I human leukocyte antigens for predicting idiosyncratic drug reactions.

artículo científico publicado en 2015

SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome

artículo científico publicado en 2009

Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis

artículo científico publicado en 2015

Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population

artículo científico publicado en 2014

sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides

artículo científico publicado en 2016

Lista de obras de Heng Luo

A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages

Applying network analysis and Nebula (neighbor-edges based and unbiased leverage algorithm) to ToxCast data

Combining Docking Pose Rank and Structure with Deep Learning Improves Protein-Ligand Binding Mode Prediction over a Baseline Docking Approach

Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists

DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome

DPDR-CPI, a server that predicts Drug Positioning and Drug Repositioning via Chemical-Protein Interactome

DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactome ⬇️

Development and Validation of Decision Forest Model for Estrogen Receptor Binding Prediction of Chemicals Using Large Data Sets

Drug repositioning for diabetes based on 'omics' data mining

Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol A replacement compounds

Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome--clozapine-induced agranulocytosis as a case study

HLADR: a database system for enhancing the discovery of biomarkers for predicting human leukocyte antigen-mediated idiosyncratic adverse drug reactions.

Haystack, a web-based tool for metabolomics research

Machine Learning Methods for Predicting HLA-Peptide Binding Activity

Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints

Molecular Docking for Identification of Potential Targets for Drug Repurposing

Molecular Docking for Prediction and Interpretation of Adverse Drug Reactions

Molecular docking to identify associations between drugs and class I human leukocyte antigens for predicting idiosyncratic drug reactions.

SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome

Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis

Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population

sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides