Author

Lina Aboulmouna

University of California San Diego

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Anirikh Chakrabarti· 1 shared Doraiswami RamkrishnaiD· 1 shared Jeffrey Varner· 1 shared Mano Ram MauryaiD· 1 shared Rubesh RajaiD· 1 shared Sana KhanumiD· 1 shared Shakti GuptaiD· 1 shared Shankar SubramaniamiD· 1 shared

Activity by Year

2016-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperSystems Biology

Anirikh Chakrabarti

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2 papers

Recent·Most cited

Systems BiologyBiophysical JournalPeer-reviewedDec 15, 2023

Modeling transcriptional regulation of the cell cycle using a novel cybernetic-inspired approach

Rubesh Raja, Sana Khanum, Lina Aboulmouna…·Doraiswami Ramkrishna

The paper introduces a cybernetic-inspired modeling framework to analyze the transcriptional regulation of the mammalian cell cycle, identifying functional network modules and predicting future cell cycles.

1 citation

humanbulk RNA-seq

Systems BiologybioRxivPreprintJun 21, 2016

Mechanistic Modeling and Analysis of the Mammalian Unfolded Protein Response

Anirikh Chakrabarti, Lina Aboulmouna, Jeffrey Varner

This study develops mechanistic models of the mammalian UPR system, showing that all three branches fire simultaneously but with varying importance over time, and that BiP feedback is critical for system robustness.

DOI 10.1101/060020

humanstatistical model