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I will outline some of the issues, illustrating the interplay between molecular data obtained from tumors and the statistical and stochastic modeling used for inference.
Molecular data obtained from breast cancer cells can be used to predict which patients are at a high risk for recurrence even decades after their diagnosis, according to a new study jointly conducted by researchers at the Stanford University School of Medicine and the Cancer Research UK Cambridge Institute, as well as several other institutions.
Apart from the high concentrations of the 13C-spike, these data were very similar to molecular data obtained from the respective pyroprobe pyrolysis GC MS analysis of pure lignin and coal samples.
DNA fingerprinting of Mycobacterium tuberculosis has a key role in TB control and cluster investigation as the molecular data obtained can be used to direct and focus public health control efforts [1], [2].
This genetic susceptibility has been confirmed by recent molecular data obtained in MMD (see Table 4).
We used molecular data obtained from complete mitochondrial DNA (mtDNA) sequences to investigate these hypotheses.
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Furthermore, unique to this study compared to other published data concerning passerine species is the combination of immunohistochemistry findings with molecular virological data obtained by rRT-PCR.
As mixed modelling allows incorporation of random effects to model unknown variance, we were also able to use the clinical and molecular genetic data obtained to model the progress of individual patients and predict their expected course of disease development.
The molecular oncology data obtained in the last decades have shown that the neoplastic phenotype is mainly due to genetic or epigenetic defects of two complex molecular machineries: the Cell Cycle and DNA Replication Apparatus (CCDRA) and the Apoptotic Machinery (AM) [ 22, 82, 83].
Molecular-genetic data obtained from model organisms are widely used in studies of biological processes.
The most likely explanation for misclassification between molecular and morphological data obtained in our study is that very early molecular changes may precede alteration of morphology, and therefore these conditions would not overlap (or be associated with) the pathological response.
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morphological data obtained
les data obtained
dna data obtained
characterization data obtained
molecular data needed
molecular data confirmed
molecular targets obtained
molecular insights obtained
molecular fragments obtained
molecular results obtained
molecular matrices obtained
molecular dimensions obtained
molecular masses obtained
molecular frameworks obtained
molecular profiles obtained
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com