Author

Rick A. Fasani

Agilent Technologies (United States)

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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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Albert J. Fornace· 1 shared Alexandra Maertens· 1 shared Dipanwita Roy· 1 shared James D. Yager· 1 shared Jason G. LomnitziD· 1 shared Kim Boekelheide· 1 shared Marguerite M. Vantangoli· 1 shared Melvin E. Andersen· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Albert J. Fornace

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Author profile →

2 papers

Recent·Most cited

Mechanistic Modeling of Biochemical Systems Without A Priori Parameter Values Using the Design Space Toolbox v.3.0

Miguel Á. Valderrama-Gómez, Jason G. Lomnitz, Rick A. Fasani, Michael A. Savageau

The paper introduces DST3, a software tool for mechanistic modeling of biochemical systems without prior parameter values, using a phenotype-centric approach.

iScience · May 23, 2020Peer-reviewedSystems Biology

Information-dependent Enrichment Analysis Reveals Time-dependent Transcriptional Regulation of the Estrogen Pathway of Toxicity

Salil N. Pendse, Alexandra Maertens, Michael Rosenberg, Dipanwita Roy, Rick A. Fasani, Marguerite M. Vantangoli, Samantha J. Madnick, Kim Boekelheide, Albert J. Fornace, James D. Yager, Thomas Hartung, Melvin E. Andersen, Patrick D. McMullen

This paper introduces IDEA, a novel enrichment analysis method to identify transcription factor networks involved in estrogen pathway toxicity, showing improved performance over existing methods.

bioRxiv · Feb 4, 2016Bioinformatics