Author

Pradeep Ravikumar

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 Assay:DNA methylation· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Assay:multiome· 1

Frequent Co-Authors

Austin G. Meyer· 1 shared Claus O Wilke· 1 shared Daniel Segrè· 1 shared Eunho Yang· 1 shared Genevera I. AlleniD· 1 shared Jeffrey E. BarrickiD· 1 shared Piyush Rai· 1 shared Viswanadham SridharaiD· 1 shared

Activity by Year

2014-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Austin G. Meyer

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2 papers

Recent·Most cited

XMRF: An R package to Fit Markov Networks to High-Throughput Genetics Data

Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Zhandong Liu

XMRF fits Markov Networks to high-throughput genetics data using Poisson, Ising, and Gaussian graphical models for RNA-seq, mutation, and methylation data.

BMC Systems Biology · Aug 1, 2016Peer-reviewedBioinformatics

Predicting growth conditions from internal metabolic fluxes in an in-silico model of E. coli

Viswanadham Sridhara, Austin G. Meyer, Piyush Rai, Jeffrey E. Barrick, Pradeep Ravikumar, Daniel Segrè, Claus O Wilke

The paper predicts growth conditions of E. coli from metabolic fluxes using regularized multinomial regression and finds that metabolic end products and a small number of reactions are sufficient for accurate prediction.

bioRxiv · Oct 14, 2014Systems Biology