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Perhaps the disease most impacted by this approach is breast cancer, where multiple pathway signatures have been used to redefine the three major subclasses of disease (as defined by FISH status of Her2 and IHC measurement of ER and PR) into four new categories: Her2, luminal A, luminal B, and basal [13].
When applied to data sets of breast, ovarian and lung tumors, hierarchical clustering of the relative probabilities of pathway activation (as measured for multiple pathway signatures) could distinguish between patient subgroups with significantly different survival rates, demonstrating a strong association between multimodal pathway deregulation and clinical tumor behavior [ 33].
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Multiple methods for deriving pathway signatures from simultaneous whole genome mRNA measurements have been developed over the last decade, with many pathway signatures published and validated as representative measures of variant biological processes.
We developed a web-based gene set enrichment application called LRpath with clustering functionality that allows for identification and comparison of pathway signatures across multiple studies.
The biology of the ~5000 genes underpinning the "intrinsic" PC1 signature was not forthcoming from the standard functional analyses algorithms that often identify multiple pathways linked to complex signatures.
The Connectivity Map, a post-array digital analysis tool, uses pathway signatures derived from microarray measurements to explain the mechanism of action for novel drug candidates, and multiple drug response signatures have been derived from comparing pre- and post-treatment samples in preclinical models.
To validate pathway signatures, two types of analyses were performed.
Pathway analysis results were confirmed by generation of independent pathway signatures and application to additional datasets.
The scores matrix T f represents the h f pathway signatures for pathway f.
Various technical differences have been proposed to account for this discrepancy, but others have noted that if one looks beyond the genes to the pathways they represent, multiple pathways can be found in common between the signatures, indicating that the signatures and their predictive powers may converge on the same underlying biology [ 6].
These data suggest that a similar pathway signature should be present in multiple types of human tissue and that a genetic program exists to regulate the development of the phases of child growth.
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