Sentence examples for mining and computational from inspiring English sources

Data mining and computational analysis were utilized to derive compound promiscuity phenomenon to avoid drug attrition rate in designing antibacterials.

Second, we review recent work to apply part mining and computational design to expand the number of regulators that can be used together within one cell.

Such networks have been systematically determined and explored in the baker's yeast Saccharomyces cerevisiae [1], [2], [3], [4], [5], [6], bacteria [7] and, more recently, in other organisms [8] such as the fruit fly [9] and the nematode worm [10] via a combination of high-throughput experimental methods, data mining, and computational predictions.

These highly coordinated efforts are creating large complex datasets for mining and computational modeling by the scientific community.

With the emergence of these high quality data sets, the emphasis of genomic studies is rapidly shifting away from data generation towards meta-analysis, integrated analysis, data mining and computational analysis of existing data.

To test this notion, we developed a comprehensive text mining and computational methodology that focused on discovering new targets of one class of molecular entities, transcription factors (TF), within one particular disease, colorectal cancer (CRC).

Prior to co-founding Counsyl, Dr. Srinivasan taught data mining, statistics, and computational biology in the Department of Statistics at Stanford University.

The modeling course at ETSU is a senior-level course in predictive modeling, in which the emphasis is on data mining via statistical and computational models.

In addition to developing kinetic simulation software for HPC, he studies multi-scale device simulation and optimization and high-throughput materials screening, inverse material design by electronic structure data mining and optimization, and computational battery modeling.

In order to facilitate more sensitive and thorough mining, many computational methods, both alignment-based and alignment-free classification methods, were developed particularly for these proteins.

This covers an introduction to the more advanced and computational data mining and machine learning approaches to extract insights from data, as well as create data products such as recommendation engines and other predictive models.