Author

Keyvan Karami

École Nationale Vétérinaire de ToulouseORCID 0000-0002-1875-6741Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandre HubertiD· 1 shared Chloé CeruttiiD· 1 shared David GourichoniD· 1 shared Frédérique Pitel AiD· 1 shared Guillaume DevaillyiD· 1 shared Hossein FallahiiD· 1 shared Jean-Noël HubertiD· 1 shared Jules SabbaniD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenomics

Alexandre HubertORCID

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2 papers

Recent·Most cited

GenomicsCurrent ZoologyPeer-reviewedJan 1, 2025

Molecular responses of chicken embryos to maternal heat stress through DNA methylation and gene expression

Keyvan Karami, Jules Sabban, Chloé Cerutti…·Frédérique Pitel A

This study investigates how maternal heat stress affects DNA methylation and gene expression in chicken embryos, identifying key genes and methylation sites associated with heat tolerance.

8 citationstop 5%

DNA methylationbulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintDec 5, 2023

Predictive Power of Machine Learning Models for Relapse Outcomes in Acute Myeloid Leukemia: Unveiling Key Genes and Pathways for Improved Patient Management

Mehran Radak, Hossein Fallahi, Keyvan Karami

This study uses machine learning to predict AML relapse by identifying key genes and pathways, with Decision Tree models showing the highest accuracy.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky