Author

A. Flory

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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Cancer Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

A. L. McCleary-Wheeler· 1 shared A. Phelps-Dunn· 1 shared A. Robertson· 1 shared A. Wijeratne· 1 shared B. Hale· 1 shared C. D. Warren· 1 shared C. Schmidt· 1 shared D. S. Grosu· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. L. McCleary-Wheeler

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2 papers

Recent·Most cited

Gene regulatory network inference in soybean upon infection by Phytophthora sojae

B. Hale, S. Ratnayake, A. Flory, R. Wijeratne, C. Schmidt, A. Robertson, A. Wijeratne

This study uses transcriptome and deep learning to infer gene regulatory networks in soybean responding to Phytophthora sojae infection, identifying key transcription factors involved in defense.

bioRxiv · Oct 19, 2022 · PreprintPlant Biology

Age at cancer diagnosis by breed, weight, sex, and cancer type in a cohort of over 3,000 dogs: determining the optimal age to initiate cancer screening in canine patients

J. M. Rafalko, K. M. Kruglyak, A. L. McCleary-Wheeler, V. Goyal, A. Phelps-Dunn, L. K. Wong, C. D. Warren, G. Brandstetter, M. C. Rosentel, L. M. McLennan, D. S. Grosu, J. Chibuk, D. W. Tsui, I. Chorny, A. Flory

This study determines the optimal age to start cancer screening in dogs by analyzing age at diagnosis across breeds, weight, sex, and cancer type in over 3,000 dogs.

bioRxiv · Mar 30, 2022Cancer Biology