Rohan Subramanian First-Author Paper

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The CS Department is excited to share Rohan’s hard work!

Rohan Subramanian ’25 and Prof. Debashis Sahoo at the University of California San Diego published “Boolean implication analysis of single-cell data predicts retinal cell type markers”, based on his work in Summer 2022. The paper describes a new approach for analyzing single-cell data using asymmetric boolean rules rather than symmetric correlation metrics. A study on retinal data shows improved prediction accuracy of marker genes of retinal cell types and discovers several new high-confidence cone and rod-specific genes.

The paper is open access for all to read and can be found published in BMC Bioinformatics.

PI’s lab group.