Sentence examples for samples we develop from inspiring English sources

To differentiate feature of gene regulation between normal and cancer tissue samples, we develop statistics to test for significant difference in the response of the gene regulation between the normal and cancer samples under the perturbation of external signals and perform genome-wide response analysis of gene regulation.

In order to understand potential transcriptional and post-transcriptional mechanisms that cause the differences in gene expression in AD and AI samples, we develop a computational procedure to identify transcription factors and microRNAs that potentially result in the expressional changes of hundreds of genes.

To render these processes compatible with biological samples, we developed a combined under-etch and washing process to detach the nanodisks from their support wafer and transfer them into a cell culture medium (Fig. 1c, Methods).

Objectives: To rapidly and accurately quantify and subtype RSV in respiratory samples, we developed and evaluated two real-time RT-PCR assays.

Based on these sets of samples, we developed a model to predict the number of required drones for a certain intervention period by OLS (ordinary linear square) regression.

To improve the comparability of such samples, we developed a correction model that adjusts country scores, which we evaluate here with data from different IEA (International Association for the Evaluation of Educational Achievement) studies on reading at the end of primary school.

For statistical testing of the proportions of European, African and Amerindian ancestry in the different samples we developed a Monte Carlo resampling method, which has the advantage of being completely non-parametric [43], as follows.

To allow more direct comparisons to the HER2 IHC scores obtained from matched tumors samples, we developed a scoring system to quantitate HER2 expression using a 0 3+ score in CTCs (Figure 5C) and then computed an H-score to provide a weighted score based on the number of CTCs with a given level of expression.

Therefore, to genotype thousands of samples we developed the Retrotransposon-Based Insertion Polymorphism (RBIP) method [ 15].

To increase the reliability of mRNA measurements on small synovial tissue samples, we developed and validated real time quantitative PCR (Q-PCR) methods on biopsy specimens.

In order to identify miRNAs that were differentially expressed between normal and tumour samples, we developed a Poisson log-linear model.