Author

Madhav Bhatta

University of Wisconsin–MadisonORCID 0000-0002-4959-0481Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Gota MorotaiD· 1 shared Haipeng YuiD· 1 shared Mehdi M. MomeniD· 1 shared Waseem HussainiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperGenetics

Gota MorotaORCID

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1 paper

Recent·Most cited

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning

Mehdi M. Momen, Madhav Bhatta, Waseem Hussain, Haipeng Yu, Gota Morota

This study uses data-driven exploratory factor analysis and Bayesian networks to identify latent phenotypes and their genetic relationships in wheat, revealing how traits like yield and disease resistance are interrelated.

Plant Direct · Jan 1, 2021Peer-reviewedGenetics