Checked fact 15227 Sep 2026Research

The authors report improvements of 3.91% in accuracy and 9.60% in MCC over CRISPRCasStack.

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The exact words it rests on

representing improvements of 3.91% in accuracy and 9.60% in MCC over the previous best method, CRISPRCasStack.

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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In a sentence

“The authors report improvements of 3.91% in accuracy and 9.60% in MCC over CRISPRCasStack.” 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/152

As a reference (APA style)

ai notis. (2026, September 27). The authors report improvements of 3.91% in accuracy and 9.60% in MCC over CRISPRCasStack [Checked claim 152]. ai notis. https://ainotis.com/c/152

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