simonorozcoarias/Inpactor2

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simonorozcoarias/Inpactor2

simonorozcoarias

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Inpactor2: LTR retrotransposon detector and classificator using Deep Learning

Inpactor

Inpactor: Integrated and Parallel Analyzer and Classifier of LTR Retrotransposons for Large Genomes

ML_DL_microArrays

Here, we describe the comparison of the most used algorithms in classical ML and DL to classify carcinogenic tumors described on 11_tumor data base, obtaining accuracies between 76.97% and 100% for tumor identification. Our results bring up a more efficient an accurate classification method based on gene expression (microarray data) and ML/DL algorithms, which facilitates the prediction of the tumor type from a multiple cancer types scenario

Jupyter Notebook

parallelDotPlot

ParaGrAl: Parallel graphic alignment of sequences. Addressing the comparison of sequences in the post-genomic era by high perfomance computing.

TIP_finder

TIP_finder: Transposable element Insertion Polymorphism Finder for huge genomic datasets

MachineLearningInTEs

Application of Machine Learning Approaches to detect and classify TEs

YORO

Genomic Object Detection: An Improved Approach for TE Detection and Classification using CNN

Jupyter Notebook

MLinTEs

Application of Machine Learning to Annotate Transposable Elements in Plants

Jupyter Notebook

SENMAP

SENMAP: A Convolutional Neural Network Architecture for Curation of LTR-RT Libraries from Plant Genomes

Jupyter Notebook