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The success of molecular-targeted therapy depends on the identification of a landmark to select patients with more benefit from the therapy, such as activating mutation or gene amplification of EGFR in non-small cell lung cancer [ 33], and overexpression or gene amplification of HER2 in breast cancer [ 34].
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Auat Cheein and Carelli[26] proposes an efficient method to select landmarks for the estimation task.
This filtered list of 3,696 genes was used as a training data set to select landmarks and generate the imputation model.
These were the conditions used to select visual landmarks with respect to the criteria introduced in "Landmark selection criteria".
To select stable visual landmarks for mobile robots, two measures regarding landmark "visibility" are considered: distinctiveness and repeatability.
However, well-designed evaluation criteria are required to select a quality landmark.
The parameters used to select a visual landmark determined by brute force.
These allow us to select high-visibility landmarks.
In unstructured environment, the robots have to select and share undefined landmarks autonomously.
We label all vertices according to their distances to selected landmarks.
The midmembranous mucosa was selected as it is an important tissue region for vocal fold oscillation; the laryngeal alar cartilage was selected as an anatomical landmark to ensure that all immunostained sections reflected a consistent anterior-posterior level in the coronal plane.
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