Sentence examples for some biological problems from inspiring English sources

One possible reason is that some biological problems are more popular than others.

Some biological problems require, however, the use of models with a detailed geometrical representation [15], [18], [20], [23], [40].

In recent years, Dagging has been employed to deal with some biological problems [ 34– 34].

Here, to catch the information of protein phenotype, Gene Ontology (GO) and KEGG enrichment scores were employed to represent the protein, which have been used in some biological problems [ 30, 31].

While some biological problems are quantitative, many others rely upon different representations, including diagrammatic or pictorial representations, such as those used to represent signaling pathways, biological cycles, or relationships among cycles (i.e., life, carbon, nutrients, populations).

Handled by Xuegong Zhang While the second-generation sequencing (SGS) technologies have offered vast improvements over Sanger sequencing, their limitations, especially their short read lengths, make them poorly suited for some particular biological problems, including assembly and determination of complex genomic regions, gene isoform detection, and methylation detection.

Some extensions to biological problems where the drift term is not globally Lipschitz but satisfies the monotone growth condition (Equation 20) were studied in [67].

These unique properties have enabled solutions to some previously intractable biological problems, such as mapping of methylated bases in pathogenic microbes [ 15] and sequencing of disease-associated trinucleotide repeats [ 16].

The mathematics skills on which we focused algebra and manipulating units; scale, exponents, and logarithms; reading and creating graphs and tables; and basic counting and probability are skills that many (particularly advanced) biology instructors assume their students have and can apply at some level to biological problems.

Some progress has been made in applying similar variational principles to biological problems, usually in the framework of optimal control theory using numerical optimizations (for example, [ 21, 32]).

He contributed more than 100 papers, many of them offering novel theoretical approaches to biological problems.