April 2026
1. ATITEY K, Anchang B
   PICDGI: A framework for predicting cancer driver genes through dynamic gene-gene interaction modeling of single-cell data.
   PLoS Comput Biol. 2026;22:e1014143.
   

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   March 2026
2. LI R, Hu DM, Liu YL, Zhao W, et al
   Multi-omics and network pharmacology identify IGFBP1 as an m6A-Epigenetic target of pueraria in NSCLC therapy.
   PLoS Comput Biol. 2026;22:e1014050.
   

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   April 2025
3. JIN Z, Zhou X, Fang Z
   DelaySSA: stochastic simulation of biochemical systems and gene regulatory networks with or without time delays.
   PLoS Comput Biol. 2025;21:e1012919.
   

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4. NOURBAKHSH M, Zheng Y, Noor H, Chen H, et al
   Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight.
   PLoS Comput Biol. 2025;21:e1012999.
   

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   February 2025
5. WANG S, Lei J, Zou X, Jin S, et al
   Integrating multiscale mathematical modeling and multidimensional data reveals the effects of epigenetic instability on acquired drug resistance in cancer.
   PLoS Comput Biol. 2025;21:e1012815.
   

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   June 2024
6. VANDERDOES J, Marceaux C, Yokote K, Asselin-Labat ML, et al
   Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments.
   PLoS Comput Biol. 2024;20:e1011361.
   

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   September 2023
7. VU T, Seal S, Ghosh T, Ahmadian M, et al
   FunSpace: A functional and spatial analytic approach to cell imaging data using entropy measures.
   PLoS Comput Biol. 2023;19:e1011490.
   

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