Linear signatures with feature weights adding to zero were substantially more robust than unbalanced signatures. They yielded consistent predictions across data from different platforms, both for transcriptomics and proteomics data.
Jul 12, 2017 · We analyzed how variability is propagated through linear signatures possibly affecting predictions and treatment recommendations. Linear ...
Jul 6, 2024 · Traditional batch correction methods that rely on common matrix factorization methods are not suited to building models with confounding factors ...
Molecular signatures that can be transferred across different omics ...
pubmed.ncbi.nlm.nih.gov › ...
Molecular signatures that can be transferred across different omics platforms. Bioinformatics. 2017 Sep 1;33(17):2790. doi: 10.1093/bioinformatics/btx488.
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Molecular signatures that can be transferred across different omics ...
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This corrects the article "Molecular signatures that can be transferred across different omics platforms" in volume 33 on page i333. Bioinformatics (2017) 33 ( ...
Molecular signatures for treatment recommendations are well researched. Still it is challenging to apply them to data generated by different protocols or ...
In contrast, the protein signature derived by zero-sum regression from the nanoLC-SWATH-MS data should be readily transferrable to other platforms for the ...
Molecular signatures for treatment recommendations are well researched. Still it is challenging to apply them to data generated by different protocols or ...
Jul 4, 2022 · We present Cross-Platform Omics Prediction (CPOP), a penalised regression model that can use omics data to predict patient outcomes in a platform-independent ...
Apr 23, 2012 · In this paper, we discuss the process of molecular signature discovery on the basis of omics data. In particular, we highlight potential ...
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