Author

Ali Mohammad Banaei‐Moghaddam

University of TehranORCID 0000-0003-1298-3748Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Kaveh KavousiiD· 2 shared Abbas Rahimi Foroushani· 1 shared Armin DadrasiD· 1 shared Fatemeh Gholizadeh· 1 shared Sayed‐Amir MarashiiD· 1 shared Zahra SalehiiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Kaveh KavousiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 20, 2022

Computational modeling of the evolutionary transition from C3 to C4 photosynthesis

Armin Dadras, Sayed‐Amir Marashi, Kaveh Kavousi, Ali Mohammad Banaei‐Moghaddam

The paper uses computational modeling to simulate the evolutionary transition from C3 to C4 photosynthesis in Arabidopsis thaliana under high photorespiration conditions and different environmental scenarios.

DOI 10.1101/2022.01.20.477074

Arabidopsisstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 22, 2018

A relative comparison between Hidden Markov- and Log-Linear- based models for differential expression analysis in a real time course RNA sequencing data

Fatemeh Gholizadeh, Zahra Salehi, Ali Mohammad Banaei‐Moghaddam…·Kaveh Kavousi

The paper compares EBSeq-HMM and multiDE models for differential expression analysis in time course RNA-seq data, finding multiDE identifies more benchmark DEGs and agrees better with them.

DOI 10.1101/448886

bulk RNA-seqstatistical model

𝕏 PostBluesky