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For example, a 'protein similarities' feature would vote in favour of CDS prediction in the regions that have similarities with known proteins.
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This 3-D similarity method [12 14, 16, 17] considers two aspects of molecular similarity: shape similarity and feature similarity.
In contrast, fractal distributors can achieve high outlet densities because of their inherent self-similarity feature.
The proposed GMVP only utilizes gradient magnitude as the similarity feature to increase computational efficiency.
The cosine similarity feature performs better than matching keyword feature and outperforms the two former topological features.
We distinguish some kinds of feature to measure their similarity: Feature whose value is a single number: for this kind of feature, we define a possible interval, call ([MIN,MAX]), for the value of the feature.
DSTIP + DCSF [39] extends STIP to depth video as DSTIP and extracts depth cuboid similarity feature (DCSF) to describe the local 3-D depth cuboid around DSTIPs for activity recognition.
The sequence similarity feature included two scores: pair-wise similarity and cross-species functional inference.
That the sequence similarity feature remained highly informative suggests that the KO groups could be further expanded (Figure 3A,B), especially for metabolism and basic function categories (Figure 3C,E).
Each sequence or similarity feature is represented as a line.
The protein similarity feature favors predictions which are consistent with the observed similarities.
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