Author

Amel Bekkar

SIB Swiss Institute of BioinformaticsORCID 0000-0002-9596-4202Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Ioannis XénariosiD· 3 shared Alaaddin Bulak ArpatiD· 1 shared Angélique PaboisiD· 1 shared Anita NasrallahiD· 1 shared Isaac CrespoiD· 1 shared Isabel C. López‐MejíaiD· 1 shared Lluis Fajas AiD· 1 shared Luca SantuariiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersSystems Biology

Ioannis XénariosORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintFeb 6, 2025

A combined computational and experimental approach to successfully predict the behavior of metastatic tumor-associated macrophages in humanbreast cancer

Amel Bekkar, Angélique Pabois, Isaac Crespo…·Marie‐Agnès Doucey

The paper identifies pro-metastatic TAMs in breast cancer and develops a computational-experimental framework to predict and inhibit their activity through pathway analysis and drug screening.

DOI 10.1101/2025.02.06.636799

humanbulk RNA-seq

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Systems BiologybioRxivPreprintNov 7, 2024

Integrating knowledge, omics and AI to develop patient-specific virtual avatars

Amel Bekkar, Luca Santuari, Ioannis Xénarios, Alaaddin Bulak Arpat

The paper develops a method to create personalized regulatory networks for cancer patients using PDX models, integrating gene expression data and genetic algorithms with GCNs to predict treatment outcomes.

1 citation

humanbulk RNA-seq

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BioinformaticsBioinformaticsPeer-reviewedJan 6, 2020

PamgeneAnalyzeR open and reproducible pipeline for kinase profiling

Amel Bekkar, Anita Nasrallah, Nicolas Guex…·Isabel C. López‐Mejía

The paper introduces an R package for automated and reproducible analysis of kinase activity data from PamChip(R) arrays.

8 citations

proteomicsstatistical model

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