Author

Brian E. Howard

ORCID 0000-0002-6123-7090Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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

Frequent Co-Authors

A. Rice· 1 shared Adrian J. GreeniD· 1 shared Arun VargheseiD· 1 shared Deepak MaviD· 1 shared Dhiral P. Phadke· 1 shared Elizabeth H. ScholliD· 1 shared J. Thomas· 1 shared Jing LiaoiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

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10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

A. Rice

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 17, 2026

Leveraging Targeted Gene Sets and Neural Networks for Zebrafish Transcriptome Extrapolation in High-Throughput Toxicogenomics

Brian E. Howard, Deepak Mav, Michele R. Balik-Meisner…·Ruchir Shah

The paper develops and evaluates machine learning methods for transcriptome extrapolation in zebrafish using targeted gene sets, finding that neural network models outperform traditional methods.

DOI 10.64898/2026.08.07.743325

zebrafishbulk RNA-seq

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NeurosciencebioRxivPreprintJan 9, 2020

Automation of citation screening in pre-clinical systematic reviews

Jing Liao, Sophia Ananiadou, L. G. Currie…·Malcolm Robert Macleod

The paper develops machine learning classifiers to automate citation screening in pre-clinical systematic reviews, achieving high sensitivity and specificity across different domains.

13 citations

machine learning (classical)benchmarking

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