Source data for S1 Fig.

<div><p>Mitochondria and plastids import thousands of proteins. Their experimental localisation remains a frequent task, but can be resource-intensive and sometimes impossible. Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. Th...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Sven B. Gould (12237287) (author)
مؤلفون آخرون:	Jonas Magiera (20161413) (author), Carolina García García (20161416) (author), Parth K. Raval (8551167) (author)
منشور في:	2024
الموضوعات:	Biochemistry Evolutionary Biology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified zea mays </ studies make use query species increases plastids import thousands physcomitrium patens </ mitochondrial proteome data chlamydomonas reinhardtii </ arabidopsis thaliana </ experimental data ranges experimental localisation remains div >< p current performance issues localisation based experimental plastid sometimes impossible results worsen results encourage random sampling protein ’ performance borders organelle errors optimizing performance next generation neural networks main driver frequent task diverse set 2 %.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Source data for S1 Fig.

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