New algorithms for microarray data analysisDATA analysisBIOCHIPSALGORITHMSPresents an abstract for the article on algorithms for biochip data analysis.doi:doi:10.1038/14433Li ZhangNature Genetics
New algorithms for microarray data analysisDATA analysisBIOCHIPSALGORITHMSPresents an abstract for the article on algorithms for biochip data analysis.doi:10.1038/14433ZhangLiNature Genetics
2009). However, in high-dimension and large-sample problems, both the dimension and the number of the samples are very large, and the overhead of all these algorithms can be prohibitive. For high-dimension and large-sample data, there are many algorithms available to the ratio-trace problem...
(PNM) based on 3D image data. It provides insight into pore and throat size distributions as a natural outcome of producing a pore network model. It also offers a powerful suite of advanced models for rock property analysis and simulations to obtain properties such as ab...
At Personalis, we are transforming the active management of cancer through breakthrough personalized testing. We aim to drive a new paradigm for cancer management, guiding care throughout the patient journey. Our highly sensitive assays combine...
Perform sophisticated text analysis and machine translation at scale with Oracle Cloud Infrastructure (OCI) Language. Use this cloud-based AI service to build intelligent applications by using REST APIs and SDKs to process unstructured text for sentiment analysis, entity recognition, classification, trans...
AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. By Will Douglas Heavenarchive page Stay connected Illustration by Rose Wong Get the latest updates fromMIT Technology Review Discover special ...
At the same time, it’s important for analysts and data scientists to work closely with the business to understand key business knowledge gaps and requirements. To accommodate the interactive exploration of data and the experimentation of statistical algorithms, you need high performance work areas. ...
which is equivalent to a real physical aperture formed by thousands of antenna elements without increasing the terminal size. Because the scanning traces are generally sparse and irregular, the prototype uses compressed sensing, tomography, and sparse aperture algorithms to process the sparsely sampled ...
The GCA approach and algorithm GCAA for self-organizing data clustering in enterprise computing are proposed in this paper. The analysis and simulations on a variety of data sets given for enterprise computing have shown many advantages over other widely used clustering algorithms in terms of the fo...