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Lista de obras de Thuc Duy Le

A fast PC algorithm for high dimensional causal discovery with multi-core PCs.

artículo científico publicado en 2016

A novel framework for inferring condition-specific TF and miRNA co-regulation of protein-protein interactions

artículo científico publicado en 2015

A novel single-cell based method for breast cancer prognosis

artículo científico publicado en 2020

CBNA: A control theory based method for identifying coding and non-coding cancer drivers

scientific article published on 02 December 2019

Computational methods for identifying miRNA sponge interactions

artículo científico publicado en 2016

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey

artículo científico publicado en 2023

Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data

artículo científico publicado en 2024

Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives

artículo científico publicado en 2020

Ensemble Methods for MiRNA Target Prediction from Expression Data

artículo científico publicado en 2015

Estimating heterogeneous treatment effect by balancing heterogeneity and fitness

article

Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon-Intron Split Analysis (EISA)

artículo científico publicado en 2019

From Observational Studies to Causal Rule Mining

From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges

artículo científico publicado en 2014

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

scientific article published on 24 September 2020

How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?

artículo científico publicado en 2022

Identification of miRNA-mRNA regulatory modules by exploring collective group relationships

artículo científico publicado en 2016

Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data

artículo científico publicado en 2016

Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data

artículo científico publicado en 2014

Identifying miRNA synergism using multiple-intervention causal inference

artículo científico publicado en 2019

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction

scientific article published on 15 March 2019

Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer

artículo científico publicado en 2018

Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data

artículo científico publicado en 2014

Inferring microRNA and transcription factor regulatory networks in heterogeneous data

artículo científico publicado en 2013

Inferring microRNA-mRNA causal regulatory relationships from expression data

artículo científico publicado en 2013

LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer

artículo científico publicado en 2020

LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer

artículo científico publicado en 2018

Mining Causal Association Rules

Mining combined causes in large data sets

Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles

artículo científico publicado en 2016

Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments

artículo científico publicado en 2023

miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase

miRLAB: An R Based Dry Lab for Exploring miRNA-mRNA Regulatory Relationships

artículo científico publicado en 2015

miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules.

artículo científico publicado en 2019