Sentence examples for extract regulation from inspiring English sources

The proposed gene expression relation mining system, AutoPat, applied the weighted patterns to extract regulation relation information from literature.

Because many sentences have very complicated structures and the regulation relationships described in some sentences are ambiguous, it is difficult to extract the regulation relationships from the sentences using only pattern matching.

To explore whether alleviating the chemically induced leukemia by the plant mixture extract involves regulation of sphingosine-1-phosphate receptor-1 (S1PR1), lymphocytes were isolated from the "untreated," "carrier," "DMBA," "plants after DMBA," and "plant mix" rat groups and S1PR1 mRNA expression was quantitated by real-time PCR.

To extract the regulation relationships from the literature, it is necessary to identify the transcription factor and gene names first.

In the following sections, we extract inherent regulations and decipher network structures by introducing a pairwise gene hierarchy criterion (PGHC) for classifying possible gene pairs into three major groups as follows.

AutoPat parses each sentence in the test dataset once and compares with a finite set of unsupervised patterns for extracting gene regulation related sentences.

This study addressed the question: can we extract information about regulation of genes in irradiated and bystander cells from closely coordinated temporal gene expression profiles?

We proposed a method that can extract long distant regulations and demonstrated it on DNA repair of tuberculosis.

Safety checking constraints which can extract from construction safety regulation provisions are represented with a rule language, SWRL.

At the other, an over-zealous tightening of regulation would extract a vast cost in lost opportunities for the wise use of the new techniques to make people better off.

However, further investigation is required to further elucidate the molecular mechanisms underpinning BTB extract utility in the regulation of breast cancers.