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Author

S. Mukherjee

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Review Open access Sep 2026

Machine Learning to Enhance Biophysical Models for Riboswitch Discovery

ABSTRACT Riboswitches are RNA‐based genetic control elements that provide a unique mechanism of gene regulation. They function without the participation of proteins and are believed to represent ancient regulatory systems on the evolutionary timescale. To expand the search for novel riboswitches of significant interest...

Rami Zakh, A. Churkin, Ahmed Elbanna et al. · 0 citations
Open access Sep 2026

A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.

Robustness analysis revealed that predictive performance plateaued for some therapies with increasing training cohorts but continued to improve for others, suggesting inherent limits of supervised brute-force learning for certain treatments, but additional data and deeper mechanistic modeling may further enhance transc...

L. Pal, E. Gertz, N. Nair et al. · 0 citations

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