NYU algorithm enhances ability to detect cancer genes
Researchers at New York University's Courant Institute of Mathematical Sciences have developed a new algorithm that enhances the ability to detect a cancer gene, and have applied their algorithm to map the set of tumor-suppressor genes involved in lung cancer. The algorithm uses data from Affymetrix's gene-chips that can scan hundreds of patients' genomes to find gains and losses in gene-copies....siRNA Design: It's All in the Algorithm
Andrew Walsh, Anne Grabner Ambion, Inc. RNA interference (RNAi) has become a powerful tool for understanding gene function. It is a cellular process wherein s...New statistical algorithms for Monitoring Gene Expression on GeneChip® Probe Arrays
expression data. These statistical algorithms, created in response to customer input, were designed to accommodate the typical distribution of data found in microarray experiments. The new statistical algorithms employ standard statistical techniques and are opti...Garbage In, Garbage Out: The Dirt on Googles New Algorithm
Googles new search algorithm has Web marketers scrambling for content instead of search engine rankings. When the worlds most popular search engine rolled out its new search algorithm in late November it changed the landscape for search engine-savvy marketers. Sites that had enjoyed top ranking with free listings in their key phrases for years disappeared completely. Their traffic droppe...Clinical Outcomes of Nonsmall Cell Lung Cancer Patients can Be Classified by New Algorithms
Two research teams have developed models for classifying the clinical outcomes of patients with nonsmall-cell lung cancer (NSCLC) using mass spectrometry techniques . Currently, clinicians do not have adequate methods for determining which patients will benefit from treatment with certain drugs. The new models could help physicians decide who will benefit from certain treatment options....