Introduction to Phenotype Identification

To date, these approaches are limited to model organisms with species-specific reagents available for cell phenotype identification, clustering and neural network training.

Compared with genetically transformed plants, the target gene expression level is reduced in the newly emerged leaves and can carry out phenotype identification after a few weeks of Agrobacterium infiltration.

Specific search criteria were formulated by leveraging a phenotype identification guideline developed by the Phenotypes, Data Standards, and Data Quality Core of the NIH Health Care Systems Research Collaboratory.

In this paper, we formally define and analyse the NLP model adaptation problem, particularly in phenotype identification tasks, and identify two types of common unnecessary or wasted efforts: duplicate waste and imbalance waste.

Six F1 hybrid populations were subjected to authenticity determination using SSR markers, brown rust resistance phenotype identification using artificial inoculation, and molecular detection of Bru1 gene.

Plasmid pLVM1 is catabolically crucial for DMF utilization, as evidenced by the phenotype identification of the plasmid-free strain.

For in vivo SERS detection, Raman shift peaks of 2120 cm-1, 2205 cm-1 and 2230 cm-1 in micro tumor were clearly observed, representing the existence of three specific biomarkers of nucleolin, integrin αvβ3 and CD44 reporter, which could be used for early cancer phenotype identification.

Our second aim is to discuss statistical issues related to biobank research such as study design, sampling strategy, phenotype identification, and missing data.

Genome resequencing, gene deletion and complementation, gene expression analysis, sequence divergence, defoliating phenotype identification, virulence analysis, and quantification of V.

In this paper we introduce a two-step classification method for a specific task of phenotype identification, which firstly clusters data and then performs classification within each cluster.