https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2020Ramlaul_Sidesplitter 2026-05-24T21:06:43Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2020Ramlaul_Sidesplitter&diff=3738&oldid=prev 2020-07-15T09:06:15Z

<p>Created page with &quot;== Citation == Ramlaul, K.; Palmer, C. M.; Nakane, T., Aylett, C. H. S. Mitigating local over-fitting during single particle reconstruction with SIDESPLITTER. Journal of stru...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Ramlaul, K.; Palmer, C. M.; Nakane, T., Aylett, C. H. S. Mitigating local over-fitting during single particle reconstruction with SIDESPLITTER. Journal of structural biology, 2020, 211, 107545 <br /> <br /> == Abstract ==<br /> <br /> Single particle analysis has become a key structural biology technique. Experimental images are extremely noisy, and during iterative refinement it is possible to stably incorporate noise into the reconstruction. Such &quot;over-fitting&quot; can lead to misinterpretation of the structure and flawed biological results. Several strategies are routinely used to prevent over-fitting, the most common being independent refinement of two sides of a split dataset. In this study, we show that over-fitting remains an issue within regions of low local signal-to-noise, despite independent refinement of half datasets. We propose a modification of the refinement process through the application of a local signal-to-noise filter: SIDESPLITTER. We show that our approach can reduce over-fitting for both idealised and experimental data while maintaining independence between the two sides of a split refinement. SIDESPLITTER refinement leads to improved density, and can also lead to improvement of the final resolution in extreme cases where datasets are prone to severe over-fitting, such as small membrane proteins. <br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.sciencedirect.com/science/article/pii/S1047847720301180<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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