Bioinformatics
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17 october 2019 21:02:26 |
| SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data (BMC Bioinformatics) |
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Tweet Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficul... |
| 227 viewsCategory: Bioinformatics |
 A Kuramoto model of self-other integration across interpersonal synchronization strategies (PLoS Computational Biology)Detecting distant-homology protein structures by aligning deep neural-network based contact maps (PLoS Computational Biology) 
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