Author

Prasad Patil

Primary ORCID profile (0009-0007-6092-2268 · 8 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Prasad PatiliD8 papers · Boston University

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Jeffrey T. Leek· 2 shared Benjamin Haibe-Kains· 1 shared Jeffrey T Leek· 1 shared Michael Rosenblum· 1 shared Peirre-Olivier Bachant-Winner· 1 shared Roger D. Peng· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 5 mutual co-author links

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2 shared papersScientific Communication & Education

Jeffrey T. Leek

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Author profile →

3 papers

Recent·Most cited

A statistical definition for reproducibility and replicability

Prasad Patil, Roger D. Peng, Jeffrey T. Leek

The paper defines reproducibility and replicability in scientific studies to address confusion in their usage across fields.

bioRxiv · Jul 29, 2016 · PreprintScientific Communication & Education

Measuring the Contribution of Genomic Predictors to Improving Estimator Precision in Randomized trials

Prasad Patil, Michael Rosenblum, Jeffrey T. Leek

The paper evaluates how genomic data improve estimator precision in randomized trials using a simulation study with breast cancer data, finding combined clinical and genomic adjustments yield modest additional gains.

bioRxiv · Apr 16, 2015 · PreprintBioinformatics

Avoiding test set bias with rank-based prediction

Prasad Patil, Peirre-Olivier Bachant-Winner, Benjamin Haibe-Kains, Jeffrey T Leek

The paper introduces a rank-based prediction framework to avoid test set bias by eliminating the need for cross-sample normalization, demonstrating its effectiveness with a breast cancer gene signature.

Bioinformatics · Mar 18, 2015Peer-reviewedGenomics