Olivier Poirion

The share of this author’s assessed papers carrying a ⚑ flag. A concentration is a prompt for expert review — never, on its own, a determination about the person.

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How this author’s assessed papers reproduced — the outcome of reproduction attempts, not a judgement of the person. Coverage is partial and grows over time.

Assessed papers (1)

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
  2021 L1 84/100

1 assessed by us (1 reproduced) · 102 not yet assessed — every PubMed paper on record, linked below.

• MorPhiC Consortium: towards functional characterization of all human genes ↗

  Nature · 2025 · PMID 39939790
  not yet assessed
• A year-long field study of buried plastics reveals underestimation of plastic pollution on Hawaiian beaches ↗

  Marine Pollution Bulletin · 2025 · PMID 40020394
  not yet assessed
• Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response ↗

  Cell Reports · 2025 · PMID 40343794
  not yet assessed
• Multi-modal analysis of human hepatic stellate cells identifies novel therapeutic targets for metabolic dysfunction-associated steatotic liver disease ↗

  Journal of Hepatology · 2024 · PMID 39522884
  not yet assessed
• Computer vision segmentation model—deep learning for categorizing microplastic debris ↗

  Frontiers in Environmental Science · 2024
  not yet assessed
• Enhlink infers distal and context-specific enhancer–promoter linkages ↗

  Genome biology · 2024 · PMID 39223609
  not yet assessed
• Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2024 · PMID 39071392
  not yet assessed
• A Year-Long Field Study of Buried Plastics Reveals Underestimation of Plastic Pollution on Hawaiian Beaches ↗

  SSRN Electronic Journal · 2024
  not yet assessed
• A comparative atlas of single-cell chromatin accessibility in the human brain ↗

  Science · 2023 · PMID 37824643
  not yet assessed
• Human microglia maturation is underpinned by specific gene regulatory networks ↗

  Immunity · 2023 · PMID 37582369
  not yet assessed
• Robust enhancer-gene regulation identified by single-cell transcriptomes and epigenomes ↗

  Cell Genomics · 2023 · PMID 37492103
  not yet assessed
• Supplementary File S2: Description of results on differential tests of miRNAs and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S1: Clinical characteristics of the HCC cohorts used in this study from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Figures S1, S2, and S3 from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary File S1: Description of normalization methods used from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S3: Performance for cross-validation and confirmation cohorts when using alternative approaches, different normalizations, and different hyper-parameter values from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S2: ANOVA-based top features from three omics: mRNA, miR, and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S4: Performance of models constructed with one omic only from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Data from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Data from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary File S2: Description of results on differential tests of miRNAs and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S3: Performance for cross-validation and confirmation cohorts when using alternative approaches, different normalizations, and different hyper-parameter values from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Figures S1, S2, and S3 from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary File S1: Description of normalization methods used from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S1: Clinical characteristics of the HCC cohorts used in this study from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S4: Performance of models constructed with one omic only from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S2: ANOVA-based top features from three omics: mRNA, miR, and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Enhlink infers distal and context-specific enhancer-promoter linkages ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2023 · PMID 37214950
  not yet assessed
• Enhancer-Promoter Linkage Atlas for the Mouse Adipose tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation ↗

  Figshare · 2023
  not yet assessed
• Enhancer-Promoter Linkage Atlas for the Mouse Adipose tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation ↗

  Figshare · 2023
  not yet assessed
• Enhancer-Promoter Linkage Atlas for the Mouse Islet tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation ↗

  Figshare · 2023
  not yet assessed
• Enhancer-Promoter Linkage Atlas for the Mouse Islet tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation ↗

  Figshare · 2023
  not yet assessed
• Enhancer-Promoter Linkage Atlas for the Mouse Islet tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation ↗

  Figshare · 2023
  not yet assessed
• Enhancer-Promoter Linkage Atlas for the Mouse Adipose tissue generated with Enhlink. Insights into Type II Diabetes Mechanisms and Covariate-Specific Regulation ↗

  Figshare · 2023
  not yet assessed
• Human-gained heart enhancers are associated with species-specific cardiac attributes ↗

  Nature Cardiovascular Research · 2022 · PMID 36817700
  not yet assessed
• A comparative atlas of single-cell chromatin accessibility in the human brain ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2022
  not yet assessed
• Author Correction: Comparative cellular analysis of motor cortex in human, marmoset and mouse ↗

  Nature · 2022 · PMID 35319013
  not yet assessed
• Author Correction: Human-gained heart enhancers are associated with species-specific cardiac attributes ↗

  Nature Cardiovascular Research · 2022 · PMID 39196171
  not yet assessed
• Comparative cellular analysis of motor cortex in human, marmoset and mouse ↗

  Nature · 2021 · PMID 34616062
  not yet assessed
• A multimodal cell census and atlas of the mammalian primary motor cortex ↗

  Nature · 2021 · PMID 34616075
  not yet assessed
• A single-cell atlas of chromatin accessibility in the human genome ↗

  Cell · 2021 · PMID 34774128
  not yet assessed
• A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex ↗

  Nature · 2021 · PMID 34616066
  not yet assessed
• Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics ↗

  Nature Medicine · 2021 · PMID 33654293
  not yet assessed
• DNA methylation atlas of the mouse brain at single-cell resolution ↗

  Nature · 2021 · PMID 34616061
  not yet assessed
• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data

  Genome Medicine · 2021 · PMID 34261540
  L1 84/100
• An atlas of gene regulatory elements in adult mouse cerebrum ↗

  Nature · 2021 · PMID 34616068
  not yet assessed
• Cardiac cell type–specific gene regulatory programs and disease risk association ↗

  Science Advances · 2021 · PMID 33990324
  not yet assessed
• GranatumX: A Community-Engaging, Modularized, and Flexible Webtool for Single-Cell Data Analysis ↗

  Genomics Proteomics & Bioinformatics · 2021 · PMID 34973417
  not yet assessed
• A cell atlas of chromatin accessibility across 25 adult human tissues ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2021
  not yet assessed
• DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models.

  arXiv (Cornell University) · 2021
  not yet assessed
• A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models ↗

  arXiv (Cornell University) · 2021
  not yet assessed
• Robust enhancer-gene regulation identified by single-cell transcriptomes and epigenomes ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2021
  not yet assessed
• Gene regulatory networks underlying human microglia maturation ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2021
  not yet assessed
• Additional file 6 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 2 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 1 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Multi-omic and survival datasets used for "DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data" ↗

  Figshare · 2021
  not yet assessed
• Additional file 5 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 8 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 3 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes ↗

  eLife · 2020 · PMID 33164753
  not yet assessed
• Single-cell chromatin accessibility maps reveal regulatory programs driving early mouse organogenesis ↗

  Nature Cell Biology · 2020 · PMID 32231307
  not yet assessed
• The MUC5B-associated variant rs35705950 resides within an enhancer subject to lineage- and disease-dependent epigenetic remodeling ↗

  JCI Insight · 2020 · PMID 33320836
  not yet assessed
• Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction ↗

  2020
  not yet assessed
• Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction ↗

  2020
  not yet assessed
• Integrated analyses of single-cell atlases reveal age, gender, and smoking status associations with cell type-specific expression of mediators of SARS-CoV-2 viral entry and highlights inflammatory programs in putative target cells ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• Evolution of cellular diversity in primary motor cortex of human, marmoset monkey, and mouse ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• DNA Methylation Atlas of the Mouse Brain at Single-Cell Resolution ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• An Atlas of Gene Regulatory Elements in Adult Mouse Cerebrum ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• Single Nucleus Multiomic Profiling Reveals Age-Dynamic Regulation of Host Genes Associated with SARS-CoV-2 Infection ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• Author response: Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes ↗

  2020
  not yet assessed
• Cardiac Cell Type-Specific Gene Regulatory Programs and Disease Risk Association ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• Abstract ES10-2: Understanding breast cancer using a developmental perspective ↗

  Cancer Research · 2020
  not yet assessed
• Single cell genomic analysis to study the retinal cell type specific regulatory landscape of Mfrp-KO mice.

  2020
  not yet assessed
• A multimodal cell census and atlas of the mammalian primary motor cortex ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2020
  not yet assessed
• DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data ↗

  Genome biology · 2019 · PMID 31627739
  not yet assessed
• Single-Cell Chromatin Analysis of Mammary Gland Development Reveals Cell-State Transcriptional Regulators and Lineage Relationships ↗

  Cell Reports · 2019 · PMID 31597106
  not yet assessed
• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  medRxiv · 2019
  not yet assessed
• Single-cell chromatin accessibility analysis of mammary gland development reveals cell state transcriptional regulators and cellular lineage relationships ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2019
  not yet assessed
• Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage ↗

  Nature Communications · 2018 · PMID 30459309
  not yet assessed
• Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes ↗

  Clinical Cancer Research · 2018 · PMID 30242023
  not yet assessed
• Deep Learning data integration for better risk stratification models of bladder cancer. ↗

  PubMed · 2018 · PMID 29888072
  not yet assessed
• DeepImpute: an accurate, fast and scalable deep neural network method to impute single-cell RNA-Seq data ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2018
  not yet assessed
• Neo-formation of chromosomes in bacteria ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2018
  not yet assessed
• Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  Clinical Cancer Research · 2017 · PMID 28982688
  not yet assessed
• Using single‐cell multiple omics approaches to resolve tumor heterogeneity ↗

  Clinical and Translational Medicine · 2017 · PMID 29285690
  not yet assessed
• Deep Learning based multi-omics integration robustly predicts survival in liver cancer ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2017
  not yet assessed
• Multi-modal meta-analysis of 1494 hepatocellular carcinoma samples reveals vast impacts of consensus driver genes on phenotypes ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2017
  not yet assessed
• Single-Cell Transcriptomics Bioinformatics and Computational Challenges ↗

  Frontiers in Genetics · 2016 · PMID 27708664
  not yet assessed
• Using Single Nucleotide Variations in Single-Cell RNA-Seq to Identify Subpopulations and Genotype-phenotype Linkage ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2016
  not yet assessed
• Inferring phylogenies of evolving sequences without multiple sequence alignment ↗

  Scientific Reports · 2014 · PMID 25266120
  not yet assessed
• Contribution of graphs to the analysis of bacterial genome architecture

  HAL (Le Centre pour la Communication Scientifique Directe) · 2014
  not yet assessed
• Formation of chromosome in bacteria

  HAL (Le Centre pour la Communication Scientifique Directe) · 2014
  not yet assessed
• Chromosome formation in bacteria

  HAL (Le Centre pour la Communication Scientifique Directe) · 2014
  not yet assessed
• Structuration of the bacterial replicon space

  HAL (Le Centre pour la Communication Scientifique Directe) · 2014
  not yet assessed
• Analytical discrimination of bacterial genomes

  theses.fr (ABES) · 2014
  not yet assessed
• Discrimination analytique des génomes bactériens

  HAL (Le Centre pour la Communication Scientifique Directe) · 2014
  not yet assessed
• Discrimination analytique des génomes bactériens ↗

  2014
  not yet assessed
• Tracing the origin of megaplasmids and secondary chromosomes in bacterial genomes

  HAL (Le Centre pour la Communication Scientifique Directe) · 2013
  not yet assessed
• Classification of bacterial replicons based on the Genetic Information Transmission Systems

  HAL (Le Centre pour la Communication Scientifique Directe) · 2013
  not yet assessed
• Visualization and analysis of an interconnected network of genomic elements

  HAL (Le Centre pour la Communication Scientifique Directe) · 2013
  not yet assessed
• Utilization of Machine-Learning Methodologies in Order to Understand Complex Evolutionary and Functional Links among Bacterial Genomes

  HAL (Le Centre pour la Communication Scientifique Directe) · 2013
  not yet assessed