The impact of microarray technology on biology will depend on computational methods of data analysis. A supervised computer-learning method using support vector machines predicts gene function from ...
Although not necessarily based on a gene-specific mechanistic hypothesis, good gene-expression profiling experiments should be planned and conducted with a clear objective, design and statistical ...
In recent articles I have looked at some of the terminology being used to describe high-level Artificial Intelligence concepts – specifically machine learning and deep learning. In this piece, I want ...
We explore an ensemble of multivariate statistical methods for the analysis of gene expression data from cDNA microarray experiments. The statistical questions we investigate are motivated by the ...
Machine learning has proven to be very efficient at classifying images and other unstructured data, a task that is very difficult to handle with classic rule-based software. But before machine ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Impact of BRCA1 gene alterations on tumor characteristics and clinical outcome in ovarian cancer (OC) patients. Background: Advanced ovarian clear cell carcinomas (OCCCs) are notoriously drug ...
This is part two of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first discussed business applications can benefit from supervised learning. This article will ...
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