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Molecular profiling studies suggest that smaller size microelectrode (50 μm; diameter) with magnetic beads based enhancement can be employed to identify cell type.
It is interesting to ponder if prediction of measurements (from other measurements) may be relevant to experimental design of high-throughput molecular profiling studies.
Other recent molecular profiling studies (in addition to those referenced above) have demonstrated that gene expression patterns derived from experimental models are also observable in human tumors.
This study provided the rare opportunity to intersect structural mapping and molecular profiling studies.
The results from these molecular profiling studies clearly demonstrated heterogeneity in the molecular pathogenesis of lung cancer.
Despite its clinical importance, ascites volume has not been captured as a parameter in molecular profiling studies.
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A recent molecular profiling study performed on adjacent tissue of breast tumours, classifies extratumoral stromal microenvironments into two primary gene expression phenotypes (Active and Inactive).
In the other situation, a researcher might have performed a molecular profiling study to derive a gene signature associated with a particular phenotype under the study, for example, survival of HCC patients.
Normalised gene expression data was derived from a molecular profiling study described earlier, including 24 independent untreated primary ovarian cancer lesions, using 18K cDNA microarray (Helleman et al, 2006; Erasmus MC, Rotterdam, The Netherlands).
The clinical information required was determined by the aim of the molecular profiling study and it includes survival data, such as date and cause of death, treatment information, such as chemotherapy, surgery and radiotherapy type and bio-marker information such as ER, PR and HER2 status.
In addition, recent molecular and genetic profiling studies have identified several markers and unique signatures as prognostic and predictive factors of GBM [3], [4].
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