Other packages > Find by keyword >

miRNAss  

Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples
View on CRAN: Click here


Download and install miRNAss package within the R console
Install from CRAN:
install.packages("miRNAss")

Install from Github:
library("remotes")
install_github("cran/miRNAss")

Install by package version:
library("remotes")
install_version("miRNAss", "1.5")



Attach the package and use:
library("miRNAss")
Maintained by
Cristian Yones
[Scholar Profile | Author Map]
First Published: 2017-05-06
Latest Update: 2020-10-20
Description:
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.
How to cite:
Cristian Yones (2017). miRNAss: Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples. R package version 1.5, https://cran.r-project.org/web/packages/miRNAss. Accessed 05 May. 2025.
Previous versions and publish date:
1.0 (2017-05-06 07:24), 1.1 (2017-06-27 00:21), 1.2 (2017-07-04 00:19), 1.3 (2017-11-02 20:42), 1.4 (2018-01-03 02:22)
Other packages that cited miRNAss R package
View miRNAss citation profile
Other R packages that miRNAss depends, imports, suggests or enhances
Complete documentation for miRNAss
Functions, R codes and Examples using the miRNAss R package
Some associated functions: adjacencyMatrixKNN . celegans . eigenDecomposition . miRNAss . 
Some associated R codes: RcppExports.R . adjacencyMatrixKNN.R . celegans.R . eigenDecomposition.R . miRNAss.R .  Full miRNAss package functions and examples
Downloads during the last 30 days
04/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/03Downloads for miRNAss02468101214161820TrendBars

Today's Hot Picks in Authors and Packages

BINCOR  
Estimate the Correlation Between Two Irregular Time Series
Estimate the correlation between two irregular time series that are not necessarily sampled on ident ...
Download / Learn more Package Citations See dependency  
pdqr  
Work with Custom Distribution Functions
Create, transform, and summarize custom random variables with distribution functions (analogues of ...
Download / Learn more Package Citations See dependency  
lifecourse  
Quantification of Lifecourse Fluidity
Provides in built datasets and three functions. These functions are mobility_index, nonStanTest and ...
Download / Learn more Package Citations See dependency  
rsvd  
Randomized Singular Value Decomposition
Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension r ...
Download / Learn more Package Citations See dependency  
cape  
Combined Analysis of Pleiotropy and Epistasis for Diversity Outbred Mice
Combined Analysis of Pleiotropy and Epistasis infers predictive networks between genetic variants a ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

24,187

R Packages

207,311

Dependencies

65,312

Author Associations

24,143

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA