Author

Naeimeh Atabaki‐Pasdar

Lund UniversityORCID 0000-0001-7229-1888Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Physiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Assay:ChIP-seq· 2 Assay:DNA methylation· 2 Assay:metabolomics· 2

Frequent Co-Authors

Paul W. FranksiD· 3 shared Adem Y. DawediD· 2 shared Alison J. HeggieiD· 2 shared Andrea MariiD· 2 shared Andrew Tym HattersleyiD· 2 shared Angus G. JonesiD· 2 shared Anubha MahajaniD· 2 shared Donna McEvoyiD· 2 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Paul W. FranksORCID

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4 papers

Recent·Most cited

PhysiologybioRxivPreprintDec 10, 2025

Energy Conservation Drives Adaptive Specialization Through Fine-tuned Organizations

Teresa Femenía, Naeimeh Atabaki‐Pasdar, Suvi Linna-Kuosmanen…·Leandro Z. Agudelo

The paper identifies metabolic human accelerated regions (mHARs) in adipose tissue that coordinate adaptive responses to nutrient deficit, revealing their role in maintaining metabolic homeostasis and resilience.

1 citation

humanDNA methylation

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Genetic & Genomic MedicineNature CommunicationsPeer-reviewedAug 21, 2023

Genetic analysis of blood molecular phenotypes reveals regulatory networks affecting complex traits: a DIRECT study.

Andrew Anand Brown, Juan J. Fernandez-Tajes, Mun‐Gwan Hong…·Ulrik Plesner Jacobsen

The paper identifies shared genetic regulation across mRNA, proteins, and metabolites in blood, revealing networks and mediators of GWAS variants.

44 citationstop 2%

humanbulk RNA-seq

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Systems BiologybioRxivPreprintJun 25, 2021

Metabolic resilience is encoded in genome plasticity

Leandro Z. Agudelo, Rémy Tuyéras, Claudia Llinares…·M Kellis

The paper investigates how genome plasticity and transcriptional organization enable metabolic resilience to nutrient limitation and fasting endurance.

5 citations

humanmouse

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Genetic & Genomic MedicinePLoS MedicinePeer-reviewedJun 19, 2020

Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT study

Naeimeh Atabaki‐Pasdar, Mattias Ohlsson, Ana Viñuela…·Paul W. Franks

This study develops machine learning models to predict liver fat content using multi-omic and clinical data from NAFLD patients, achieving higher accuracy than existing tools.

97 citationstop 1%

humanmetabolomics

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