Author

Luis León‐Novelo

The University of Texas Health Science Center at HoustonORCID 0000-0002-2595-3583Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Fabio MarroniiD· 3 shared Lauren M. McIntyreiD· 3 shared Alison M. MorseiD· 2 shared Adalena V. NanniiD· 1 shared Brecca MilleriD· 1 shared Elizabeth G. KingiD· 1 shared Fei ZouiD· 1 shared Gavin Gamble· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBioinformatics

Fabio MarroniORCID

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3 papers

Recent·Most cited

Multiparent Recombinant Inbred lines crossed to a tester provide novel insights into sources of cis and trans regulation of gene expression

Fabio Marroni, Alison M. Morse, Adalena V. Nanni, Nadja Nolte, Patricka A. Williams‐Simon, Luis León‐Novelo, Rita M Graze, PAUL S. SCHMIDT, Elizabeth G. King, Lauren M. McIntyre

The paper introduces a method using multi-parent RILs crossed to a tester to dissect cis and trans regulation of gene expression in Drosophila, finding environmental and genetic trans effects in 31% and 19% of loci respectively.

Genetics · Nov 27, 2025Peer-reviewedGenetics

Power Calculator for Detecting Allelic Imbalance Using Hierarchical Bayesian Model

Katrina Sherbina, Luis León‐Novelo, Sergey V. Nuzhdin, Lauren M. McIntyre, Fabio Marroni

The paper presents a power calculator using a hierarchical Bayesian model to estimate the required reads and replicates for detecting allelic imbalance with specified power and type I error control.

BMC Research Notes · Nov 27, 2021Peer-reviewedBioinformatics

Testcrosses are an efficient strategy for identifying cis regulatory variation: Bayesian analysis of allele specific expression (BASE)

Brecca Miller, Alison M. Morse, J. E. Borgert, Zihao Liu, Kelsey Ariel Sinclair, Gavin Gamble, Fei Zou, Jeremy R. B. Newman, Luis León‐Novelo, Fabio Marroni, Lauren M. McIntyre

The paper introduces BASE, a Bayesian pipeline for analyzing allelic imbalance to identify cis regulatory variation, showing it validates ~75% of predicted differences between non-tester alleles.

G3 Genes Genomes Genetics · Mar 27, 2021Peer-reviewedBioinformatics