Preliminary safety results of an ongoing phase I/II clinical study of MGN1601, a tumor vaccine comprising allogeneic, gene-modified, and irradiated tumor cells in combination with an immunomodulator ...
Oxygen saturation measured in vivo in bronchial tumors during bronchoscopy in patients with lung cancer using differential path length spectroscopy (DPS) correlates with survival, stage of the disease ...
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 ...
The current standard correlation coefficient used in the analysis of microarray data was introduced by M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein ...
Clustering methods are widely used in the analysis of microarray data for their ability to uncover coordinated expression profiles. One important goal of clustering is to discover coregulated genes ...
Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results