The phrase "as biological knowledge" is correct and usable in written English.
It can be used when discussing or referencing information or understanding related to biology in a specific context.
Example: "The researchers emphasized the importance of integrating traditional ecological practices as biological knowledge in modern conservation efforts."
Alternatives: "in terms of biological understanding" or "regarding biological information".
Dr. Cohen, now an emeritus professor at Vanderbilt University, said Dr. Levi-Montalcini possessed a rare combination of intuition and passion, as well as biological knowledge.
Finally, the standard should adapt quickly as biological knowledge expands.
As biological knowledge, the number of anti-cancer agents, and the number of possible measurements, continues to grow, mathematical models of cancer relevant processes will find uses in the design of state feedback-based clinical trials.
Since the extended layer is subject to constant changes as biological knowledge on viruses evolves, it is necessary to implement different numerical identifiers for each of the attributes and their concepts.
As biological knowledge increases and the use of genome editing becomes more efficient, it may be interesting to explore sources of favourable alleles that are beyond the population under selection.
We used Kyoto Encyclopedia of Genes and Genomes (KEGG) [ 25], Gene Ontology (GO) [ 26], and Protein families database (Pfam) [ 27] from Biofilter as biological knowledge to identify knowledge-driven interactions associated with clinical phenotype.
Therefore, the identification and classification of putative novel mucins requires a variety of bioinformatics tools as well as expert biological knowledge.
In our method these are relatively broad, but they could be adjusted as our biological knowledge grows, as could the priors in the GEM model.
However as more biological knowledge is accumulated and deposited into databases such as TRANSFAC[38] and JASPAR[39], we believe that TRANSMODIS will find more applications in the future.
As a first step, RCR analysis, which uses a database of hypotheses as prior biological knowledge, enabled to identify hypotheses predicted to be active upstream regulators of the observed gene expression in the dataset and which significantly covered the CPN model (Fig. 5).
Incorporating the Ontology Fingerprint as prior biological knowledge allows us to efficiently infer concise signaling network structure and to accurately predict cellular responses.
