In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a single ...
For biologists, DNA microarrays present at once unprecedented opportunities and monumental challenges. In the opportunities column, microarrays produce genome-wide gene expression snapshots, ...
In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold potential as minimally invasive diagnostic biomarkers. This study aimed to ...
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Microarray Profiling Identifies LINC00974 as a Sensitive Marker for Breast Cancer Risk
In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold ...
As a graduate student, Eric Olson learned something about DNA microarrays: Biochip data management can be vexing. His graduate adviser abandoned a number of microarray experiments because it was too ...
Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...
It is necessary to identify such new genes as biomarkers to aim to early detection of HCC. In other words, it may assist us in more accurate prediction of the progression of HCC. In other words, a ...
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