SOPHIE DABO

Professor

Université de Lille

France

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Professor Sophie Dabo is a faculty member at the University of Lille in France. Her research focuses on metabolomics, statistical modeling, and spatial analysis, with recent contributions including studies on biomarkers for pancreatic neuroendocrine tumors, mortality rate forecasting, and ecological statistical analysis. Professor Dabo's work also encompasses Bayesian modeling and methods for handling spatial data in public health contexts.

Articles (15)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2021

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2020

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2020

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2020

Collaborators (1)

Boubakari Ibrahimou

Florida International University

UNITED STATES

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SOPHIE DABO

Research Interests

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Articles (15)

Identification of metabolite biomarkers for pancreatic neuroendocrine tumours using a metabolomic approach

Forecasting mortality rates with functional signatures

A Multispectral Blood Smear Background Images Reconstruction for Malaria Unstained Images Normalization

Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies: The case of environmental variations in micronektonic layers

Statistical Modeling of Right-Censored Spatial Data Using Gaussian Random Fields

Classification of multivariate functional data on different domains with Partial Least Squares approaches

An estimation approach for the influential–imitator diffusion

Spatial Autocorrelation of Global Stock Exchanges Using Functional Areal Spatial Principal Component Analysis

Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States

k-nearest neighbors prediction and classification for spatial data

Structural Changes in Temperature and Precipitation in MENA Countries

Semiparametric estimation with spatially correlated recurrent events

Detection and segmentation of erythrocytes in multispectral label-free blood smear images for automatic cell counting

Change point detection of flood events using a functional data framework

Kernel regression estimation with errors-in-variables for random fields

Collaborators (1)

Boubakari Ibrahimou

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