Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data.

Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data.

<p>Precision of TargetP across eukaryotes for plastid <b>(a)</b> and mitochondria <b>(b)</b>; <i>A</i>. <i>thaliana</i> is shown in darker shade. Taxonomic classification of test species is shown on the X axis, skewed towards eudicots due to geno...

Full description

Saved in:
Bibliographic Details
Main Author: Sven B. Gould (12237287) (author)
Other Authors: Jonas Magiera (20161413) (author), Carolina García García (20161416) (author), Parth K. Raval (8551167) (author)
Published: 2024
Subjects:
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 %.
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items