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Constraints on Exchange Edits During Noisy-Channel Inference. [PDF]
Cogn SciBader M, Meng M.
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TCR2HLA: Calibrated inference of HLA genotypes from TCR repertoires enables identification of immunologically relevant metaclonotypes. [PDF]
PLoS Comput BiolMayer-Blackwell K +15 more
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Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism. [PDF]
PLoS OneLiu Y, Zhang S.
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Pytrf: a python package for finding tandem repeats from genomic sequences. [PDF]
BMC BioinformaticsDu L +6 more
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Representative Random Sampling of Chemical Space. [PDF]
J Chem Theory ComputMonterrubio-Chanca DJ, von Rudorff GF.
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Biological Network Edit Distance
Journal of Computational Biology, 2016Interactions among biological entities contain more information than purely the similarities between the entities. For example, interactions between genes, and gene products, can be more informative than the sequence similarities of the genes involved.
Martin, McGrane, Michael A, Charleston
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
Edit distance was originally developed by Levenstein several decades ago to measure the distance between two strings. It was found that this distance can be computed by an elegant dynamic programming procedure. The edit distance has played important roles in a wide array of applications due to its representational efficacy and computational efficiency.
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Edit distance was originally developed by Levenstein several decades ago to measure the distance between two strings. It was found that this distance can be computed by an elegant dynamic programming procedure. The edit distance has played important roles in a wide array of applications due to its representational efficacy and computational efficiency.
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2018 24th International Conference on Pattern Recognition (ICPR), 2018
In this paper, we present a novel distance metric called Segmentation Edit Distance (SED) and its use as a segmentation evaluation metric. In segmentation evaluation, the difference or distance of a test segmentation and the associated ground truth segmentation are measured in order to compare different algorithms.
Daniel Pucher, Walter G. Kropatsch
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In this paper, we present a novel distance metric called Segmentation Edit Distance (SED) and its use as a segmentation evaluation metric. In segmentation evaluation, the difference or distance of a test segmentation and the associated ground truth segmentation are measured in order to compare different algorithms.
Daniel Pucher, Walter G. Kropatsch
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Swap and mismatch edit distance
Algorithmica, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amir, Amihood +2 more
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