Sentence examples for biological knowledge that can from inspiring English sources

We developed BioBin, a flexible collapsing method inspired by biological knowledge that can be used to automate the binning of low frequency variants for association testing.

RIF metrics are not dependent on the differential expression of the RF, increasing the biological knowledge that can be derived from gene expression experiments [ 60, 61].

EasyGO is a good tool for helping biologists and agricultural scientists to discover enriched biological knowledge that can provide solutions or suggestions for original problems.

We have detailed the new Library of Knowledge Integration (LOKI) that provides the database of integrated publicly available biological knowledge that can easily be updated to keep pace with the ever growing data repositories.

iAB-RBC-283 is a proteomic based metabolic reconstruction and a biochemical knowledge-base, a functional integration of high-throughput biological data and existing experimentally verified biochemical erythrocyte knowledge that can be queried through simulations and calculations.

This analysis reveals the tension between biological relevance versus chemical tractability and highlights major gaps in available knowledge that can be addressed to aid objective decision-making.

Aside from the worrying lack of basic biological knowledge that these questions often reveal, strangers can be insensitive or downright rude.

This introductory information also begins to provide the K-4th grade teacher with a biological evolution knowledge base that can increase the teacher's overall confidence and abilities when answering inquisitive student's questions, which will arise, when teaching biological evolution to K-4th grade students.

Taken together with previous knowledge of the biological mechanisms that can explain this relation, these findings indicate that there is sufficient evidence to rule that physical activity has a 'convincing' causal relationship with endometrial cancer risk.

We utilize the resulting knowledge base for complex biological queries that can bridge levels of granularity, verify models based on the biological phenomenon they represent and provide a means to establish a basic qualitative layer on which to express the semantics of biosimulation models.

ORA methods, however, do not directly take interactions between specific set members into account and this is additional biological information that can be utilized in knowledge-based enrichment approaches.