simonorozcoarias

co-ocurrence_analysis

Co-ocurrence analysis algorithm

Inpactor

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

Inpactor2

Inpactor2: LTR retrotransposon detector and classificator using Deep Learning

MachineLearningInTEs

Application of Machine Learning Approaches to detect and classify TEs

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

MLinTEs

Application of Machine Learning to Annotate Transposable Elements in Plants

parallelDotPlot

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

SENMAP

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

TIP_finder

TIP_finder: Transposable element Insertion Polymorphism Finder for huge genomic datasets

YORO

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

simonorozcoarias/Inpactor2

Inpactor2: LTR retrotransposon detector and classificator using Deep Learning

simonorozcoarias/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

simonorozcoarias/Inpactor

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

simonorozcoarias/parallelDotPlot

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

simonorozcoarias/MachineLearningInTEs

Application of Machine Learning Approaches to detect and classify TEs

simonorozcoarias/TIP_finder

TIP_finder: Transposable element Insertion Polymorphism Finder for huge genomic datasets

simonorozcoarias/MLinTEs

Application of Machine Learning to Annotate Transposable Elements in Plants

simonorozcoarias/YORO

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

simonorozcoarias/SENMAP

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

simonorozcoarias/co-ocurrence_analysis

Co-ocurrence analysis algorithm

simonorozcoarias/deNovoTEsDmel

Scripts for genome assembly and TE annotation in D. melanogaster genomes

simonorozcoarias/G-SAIP

Graphical sequence alignment though High Performance Computing in the post-genomic era

simonorozcoarias/ncbi-blast_sobre_xeon_phi

simonorozcoarias/TE-Aid

Annotation helper tool for the manual curation of transposable element consensus sequences

simonorozcoarias/TransposonDLToolkit