Sentence examples similar to context errors from inspiring English sources

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Meacham et al. [ 22] developed a statistically principled framework and reported that the most common sequence context error is associated with the GGT motif.

While MetaSim generates reads from many input genomes and uses sequence-context error models, it cannot be trained on real data and does not assign quality values to reads, limiting its potential applications.

The advantage of ORPs is the dynamic context specific error estimation and error correction, which significantly reduces sequencing error and is more robust in the face of configuration changes across sequencing machines.

(26) This distinction further underscores the importance of the lesion structure and DNA sequence context in error-prone and error-free TLS.

In that context, "minor errors" in the checkable material take on considerable importance when we come to stuff we must take on trust.

In the context where errors are not associated with serious negative consequences, the research program contains both correlation and experimental designs.

We propose modeling the users emotional state by means of the fusion of the outputs generated with both approaches, taking into account information that is usually neglected in the individual approaches such as the interaction context and errors, and the peculiarities of transcribed spoken utterances.

This enables effective and correct performance evaluation of the functional improvement, independent from hardware or context calibration errors.

Ginger's technology was developed by a team of natural language processing experts, statisticians, linguists, educators, and more, who created a text-correction algorithm to automatically analyze the context of errors written in English and to select the most appropriate semantic and grammatical correction.

In this context, the errors at the output of a deinterleaver at the receiver side can be modeled by a QSC when a decoding process with hard decision will be used.

We show BFAST can achieve substantially greater sensitivity of alignment in the context of errors and true variants, especially insertions and deletions, and minimize false mappings, while maintaining adequate speed compared to other current methods.

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