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Elle Butler Basner

As seen in: PLOS, BioRxiv
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Articles

RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks

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By Souvik Seal, Qunhua Li, Elle Butler Basner, Laura Saba
| PLOS
Real data analysis In the real data, the true networks are unknown and thus, we focused on checking the consistency of the estimated networks by different methods and their run-times, followed by a brief gene set enrichment analysis. The medial prefrontal cortex regions regions IL and PL are anatomically closer, and have been found to be similar in terms of overall structure and regulatory functions in many studies [68–70].
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RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks

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By Souvik Seal, Qunhua Li, Laura Saba, Elle Butler Basner
| BioRxiv
New Results Souvik Seal, Qunhua Li, Elle Butler Basner, Laura M. Saba, Katerina Kechris doi: https://doi.org/10.1101/2022.02.08.479613 Abstract Inferring gene co-expression networks is a useful process for understanding gene regulation and pathway activity. The networks are usually undirected graphs where genes are represented as nodes and an edge represents a significant co-expression relationship.
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