Frédéric Bertrand

Full professor (professeur des universités)

University of Technology of Troyes

France

Research Interests

Explore related searches

Professors in France Professors in Statistics Statistics professors in France

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Frédéric Bertrand is a Full Professor at Université de Technologie de Troyes in France. His research spans various fields, including the study of COVID-19 Acute Respiratory Distress Syndrome, advanced statistical methods for missing data in breast cancer radiotherapy, and human body shape anomaly detection using persistent homology. He has also contributed to understanding the impacts of visual attention and phonological skills in dyslexic students, alongside significant work in mass spectrometry-based quantitative proteomics and kidney transplantation immunology.

Articles (12)

Year:

2025

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (6)

Manuela Tavian

UMR INSERM 1109

FRANCE

View details

Eric Spierings

University Medical Center Groningen

NETHERLANDS

View details

Laurent Mauvieux

Professor

FRANCE

View details

Laurent Miguet

INSERM

FRANCE

View details

Philippe Meyer

Chr. Michelsen Institute

FRANCE

View details

Seiamak Bahram

Professor of Immunology

University of Strasbourg

FRANCE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Frédéric Bertrand

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Does the IL-6/KL-6 ratio distinguish different phenotypes in COVID-19 Acute Respiratory Distress Syndrome? An observational study stemmed from prospectively derived clinical, biological, and computed tomographic data

Bayesian Network structure learning algorithm for highly missing and non imputable data: Application to breast cancer radiotherapy data

Human Body Shapes Anomaly Detection and Classification Using Persistent Homology

Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics

The MHC class I MICA gene is a histocompatibility antigen in kidney transplantation.

How visual attention span and phonological skills contribute to N170 print tuning: An EEG study in French dyslexic students

Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models

New Developments in Sparse PLS Regression

Temporal multiomic modeling reveals a B-cell receptor proliferative program in chronic lymphocytic leukemia.

Combining label-free and label-based accurate quantifications with SWATH-MS: Comparison with SRM and PRM for the evaluation of bovine muscle type effects.

SelectBoost: a general algorithm to enhance the performance of variable selection methods

Compatibility at amino acid position 98 of MICB reduces the incidence of graft-versus host disease in conjunction with the CMV status

Collaborators (6)

Manuela Tavian

Eric Spierings

Laurent Mauvieux

Laurent Miguet

Philippe Meyer

Seiamak Bahram

Make your next move.