Sentence examples for improved discovery of from inspiring English sources
Location-based social planning platform Hotlist (formerly "The Hotlist"), is launching a revamped website and iPhone application today, with an increased focus on ease-of-use, improved discovery of upcoming activities and events, and better tools for coordinating plans with your friends.
While these new approaches promise improved discovery of biomarkers, analysis of plasma samples still remains challenging for MS-based approaches.
Comparison of Tiling Assembly with a well-established transcript assembly programme, Cufflinks, revealed that Tiling Assembly's strengths lie in the accurate prediction of exons in the presence of noise and improved discovery of high-confidence novel genes.
Launched last year, Search Ads have been one of the biggest changes to date in terms of improving discovery of mobile applications on the App Store.
To sustain this interest, more forward-thinking preclinical radiobiology experimental designs are needed to improve discovery of promising radiochemotherapy plus agent combinations for clinical trial testing.
The app is capable of making suggestions of what to listen to next based on users' prior listening behavior, which can help to improve discovery of podcasts people may like.
We anticipate that an evolving deep understanding of the novel mode of action of natural compounds with a reverse pharmacokinetic insight may improve discovery of both single ingredient and multiple-component modern drugs from NMs.
By exploiting the reported relationship between ADHD and educational attainment (EA), we aimed to improve discovery of ADHD-associated genetic variants and to investigate genetic overlap between these phenotypes.
To better characterize the rainbow trout transcriptome and improve discovery of allelic variations, a haploid transcriptome sequence is needed.
To better characterize the catfish transcriptome and improve discovery of variations derived from duplicated genes, a haploid transcriptome is needed.
Combining protein interaction and gene expression data with a probabilistic generative model improves discovery of modules compared to approaches based on either data source alone.
