Checked fact 15127 Sep 2026Research

On an independent validation set, PrePssmCas reached 97.98 percent accuracy and a Matthews correlation coefficient of 0.962.

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The exact words it rests on

The selected features achieved an accuracy of 97.98% and an MCC of 0.962 on an independent validation set

What the source said when we opened it, on 27 Sep 2026.

The source

PrePssmCas: fusing pre-trained features and PSSM features for Cas protein classification
BMC Bioinformatics · 2026-09-26

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Checked by the notis newsroom on 27 Sep 2026, against the source above.

In the story

Paper describes PrePssmCas, a classifier that fuses language-model and PSSM features for Cas proteins 27 Sep 2026

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“On an independent validation set, PrePssmCas reached 97.98 percent accuracy and a Matthews correlation coefficient of 0.962.” ai notis, checked 27 Sep 2026. Source: PrePssmCas: fusing pre-trained features and PSSM features for Cas protein classification (BMC Bioinformatics). https://ainotis.com/c/151

As a reference (APA style)

ai notis. (2026, September 27). On an independent validation set, PrePssmCas reached 97.98 percent accuracy and a Matthews correlation coefficient of 0.962 [Checked claim 151]. ai notis. https://ainotis.com/c/151

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