celegans

<p>Small dataset of features extracted from C. elegans hairpins. The full
dataset is contained in the zip file "experiment_scripts.zip" that can be
downloaded from:</p>

datasets

Machine learning method specifically designed for
pre-miRNA prediction. It takes advantage of unlabeled sequences to improve
the prediction rates even when there are just a few positive examples, when
the negative examples are unreliable or are not good representatives of
its class. Furthermore, the method can automatically search for negative
examples if the user is unable to provide them. MiRNAss can find a good
boundary to divide the pre-miRNAs from other groups of sequences; it
automatically optimizes the threshold that defines the classes boundaries,
and thus, it is robust to high class imbalance. Each step of the method is
scalable and can handle large volumes of data.

Cristian Yones

miRNAss

Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples

celegans function

<p>A data frame with 1000 rows and 29 columns. The first 28 columns are
numeric features used in [1]. The last column is a logical variable
indicating
if the stem-loop is a pre-miRNA or not.</p>

celegans: Features extracted from hairpins of Caenorhabditis elegans.

Description

Usage

Arguments

Format

Details

References