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For LOH analysis, the aforementioned window sliding approach was used with a window size of 100 informative SNPs.
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This approach can be extended using a sliding window approach to provide a continuous estimate of the exposure outcome relation across a wide range of the exposure distribution.
This approach can be referred to as a sliding window approach (e.g., [ 37, 40]).
In most cases, sliding mesh approach is found to perform better than multiple reference frame approach.
Subsequently, we used two approaches exploiting the ordinal nature of the GOS: a proportional odds logistic regression model and the sliding dichotomy approach.
Instead, we use a sliding window approach [46].
In this study a sliding window approach is used to detect pedestrians in cluttered backgrounds [9].
It is simple sliding window approach which maintains good data privacy and scalability.
To apply the SSIM to local regions, we used a sliding window approach.
This paper presents a sliding mode approach for fault tolerant control of a civil aircraft.
The algorithm is based on the sliding mode approach to assure robustness and finite time convergence.
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