Sentence examples for verified direction from inspiring English sources
In our assembly process, words that are partially verified may be extended in their verified direction using matching verifier word(s) (green and blue text) and in the other direction by appending reference sequence (black text) and words that are non-verified may be extended in both directions using reference sequence (black text).
Quantitative reverse-transcription PCR of three genes verified the direction and relative magnitude of expression change obtained through RNAseq (Table 4).
The granger causality test will be used to verify the direction of causality between the variables of the study, with special interest being given to the direction of causality between health expenditure and economic growth.
We used Granger-causality tests in order to verify the direction of price transmission.
Therefore, the implication of the interdependence can be analyzed by verifying its direction in the following sections.
The objective of this test is to verify the direction of causality between the variables of our study.
Mutual key confirmation: Casper verifies one direction of this requirement by using the decryptable (m, K) which checks if the message (m) is decryptable by the key (K).
This paper will fill this gap by verifying the direction of causality between economic growth and public health expenditure and also to verify if there is any long-run association between them.
Without further longitudinal study, we cannot verify the direction of causation.
Motivated by this discrepancy, we took care to verify the direction of induced current by observing the potential across a wire placed under the coil; this confirmed that the optimal direction in our subjects was indeed opposite to that found by Ugawa et al. (1994b).
Because the sample includes 202 individuals with ages between 14 and 18 – 96% of which are still at risk of experiencing child sexual abuse as defined in the present study – sensitivity analysis was performed to verify the direction and strength of the estimates in the absence of these respondents.
