MLSeq-class: 'MLSeq' object

In gokmenzararsiz/MLSeq: Machine Learning Interface for RNA-Seq Data

Description

For classification, this is the main class for the MLSeq package.

Details

Objects can be created by calls of the form new("MLSeq", ...). This type of objects is created as a result of classify function of MLSeq package. It is then used in predictClassify function for predicting the class labels of new samples.

Slots

method:

stores the name of used classification method in the classification model

transformation:

stores the name of used transformation method in the classification model

normalization:

stores the name of used normalization method in the classification model

confusionMat:

stores the information of classification performance results

trainedModel:

stores the information about training process and model parameters that used in the corresponding model

ref:

stores user defined reference class

Note

An MLSeq class stores the results of classify function and offers further slots that are populated during the analysis. The slot confusionMat stores the information of classification performance results. These results contain the classification table and several statistical measures including accuracy rate, sensitivity, specifity, positive and negative predictive rates, etc. method, normalization and deseqTransform slots store the name of used classification method, normalization method and transformation method in the classification model respectively. Lastly, the slot trained stores the information about training process and model parameters that used in the corresponding model.

Author(s)

Gokmen Zararsiz, Dincer Goksuluk, Selcuk Korkmaz, Vahap Eldem, Izzet Parug Duru, Turgay Unver, Ahmet Ozturk

gokmenzararsiz/MLSeq documentation built on May 17, 2019, 7:41 a.m.