Sentence examples for classification platform from inspiring English sources

Walsh said the company has been researching and developing its crawling and classification platform for the past six years, and has just spent 12 months tweaking the crawler-based algorithms to construct the world's largest database of pornography web sites.

The classification platform using genes FRMD6, ZEB1, HTR2B and CDX2 [ 7] classifies CT26 as the "CCS3" sub-type, with poor prognosis, low therapy response and resistance to cetuximab.

The three-group CRC classification platform using differentiation marker KRT20 and "top crypt" markers CA, MS4A12 and CD177 [ 6] classifies CT26 as a tumor with a less mature phenotype and worse progression.

Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms.

Furthermore, we perform a classification of platform agility features, business and technology oriented, along with a comparative analysis of their effectiveness.

Based on the study of multimedia streaming content classification, cloud platform architecture and user mobility characteristics, we proposed the service-oriented mobile multimedia cooperative storing and delivery scheme with the storage of multimedia data, distribution, and encoding after layered processing.

We performed this analysis with two reasonable parameters sets (minscore = 35.0, minscorebylength = 0.35, toppercent = 10, minsupport = 5 OR minscore = 40.0, toppercent = 10,minsupport = 5) and observed equally good agreement in taxonomic classification across platforms.

As shown above, high-variance genes tend to be more stable expressed across platforms, which may explain the robustness of our PAM50 subtype classification results across platforms supporting its validity as a clinical assay.

For any given pair of platforms, we consider the classification based on one platform as the correct (true) classification and calculate an ROC curve for the classification based on the other platform relative to the first one.

Pathway based method also outperformed up to 10% over CGSEP for cross-experiment search, however the improvement is not as significant as the cross-platform classification.

To serve the purposes of a fair benchmarking competition we first perform cross-platform classification on colon cancer datasets as described in the state-of-the-art approach of Chowdhury and Koyutürk (2010) and outperform the prior approaches partly by raising accuracy by a relative increase of nearly 50%.