Powerful specialized software is essential for managing, quantifying, and ultimately deriving
scientific insight from results of a microarray experiment. We have developed a suite of …

Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …

Underlying every microarray experiment is an experimental question that one would like to
address. Finding a useful and satisfactory answer relies on careful experimental design and …

Microarray analysis has become a widely used tool for the generation of gene expression data
on a genomic scale. Although many significant results have been derived from microarray …

Helicobacter pylori, strain 26695, has a circular genome of 1,667,867 base pairs and 1,590
predicted coding sequences. Sequence analysis indicates that H. pylori has well-developed …

BioTechniques 34: 374-378 (February 2003) supported, MADAM is being adapted to read
and write MAGE-ML, the XML data exchange format being developed by an international …

Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …

Purpose To improve on current standards for breast cancer prognosis and prediction of
chemotherapy benefit by developing a risk model that incorporates the gene expression–based “…

The genome of the bacterium Borrelia burgdorferi B31, the aetiologic agent of Lyme disease,
contains a linear chromosome of 910,725 base pairs and at least 17 linear and circular …

TGICL is a pipeline for analysis of large Expressed Sequence Tags (EST) and mRNA databases
in which the sequences are first clustered based on pairwise sequence similarity, and …