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Using GeneChip analysis, antibody arrays, and enzyme-linked immunosorbent assays, we demonstrate that the interaction of colon cancer cells with stromal fibroblasts induced different highly relevant cancer expression profiles.
The Core MYC Signature has clinical relevance as this profile is identified in the basal-like subtype of breast cancer expression profiles, which typically harbor the highest levels of MYC expression among the different breast cancer subtypes.
The outcome stratification ability of NPI was also tested in specific breast cancer expression profiles.
We trained elastic net-regularized logistic regression classifiers using either the original expression profiles, the cancer expression profiles estimated by ISOpure, the estimates of sample composition made by matrix factorization, or the cancer expression profiles estimated by the Clarke method.
However, we have previously detected similar lymphocyte infiltration in breast cancer expression profiles (Massink et al., 2015).
Control and cancer expression profiles were downloaded from the GEO and all profiles were quantile normalized (Bolstad et al., 2003).
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Applying eight novel fibrous signatures to four publicly available breast cancer expression profiling datasets, we found that three of these signatures were not expressed in the breast cancers in a coordinated manner.
Human breast cancer expression profiling datasets were obtained from the Oncomine database (https://www.oncomine.org).org
We investigated the relationship between the prostate cancer expression profile of miRNAs and outcome using Taylor expression data.
There have been few studies dealing with molecular classification of bladder cancer expression profiling using DNA microarrays.
This cancer expression profile and the healthy tissue profiles in the template healthy individual combine to make the sources in the template cancer patient (Fig. 3c).
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