you27-mohamed

Pinned Repositories

Automated-Tool-for-Positive-Selection-ATPS-
ATPS is a automated tool for positive selection. we have developed ATPS to detects positively selected genes (PSGs), allows analysis of specific evolutionary branches and also it print out the Bayes Empirical Bayes (BEB) analysis. ATPS allow user to fetch data from NCBI or input your data using arguments.
Language:Python00
COVID-19-classification-using-different-MLandDL-classifier
This GitHub repository aims to explore the application of various machine learning classifiers for the classification of COVID-19 cases. The project leverages the power of machine learning algorithms to develop accurate and efficient models that can assist in the classification of COVID-19 patients.
Language:Jupyter Notebook00
docker
⛴ Docker image of Nextcloud
Language:Shell00
microbiome-PD
Microbiome Parkinson study
Language:R00
PosiGene
Language:Perl00
pyCircos-examples
Example notebooks of pyCircos
Language:Jupyter Notebook00
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Language:Jupyter Notebook00
RetinaSegmentation-DL
Language:Jupyter Notebook01
SolProp_ML
Language:Python00
workshop_omics_integration
Workshop in omics integration and systems biology
Language:HTML00

you27-mohamed's Repositories

you27-mohamed/COVID-19-classification-using-different-MLandDL-classifier
This GitHub repository aims to explore the application of various machine learning classifiers for the classification of COVID-19 cases. The project leverages the power of machine learning algorithms to develop accurate and efficient models that can assist in the classification of COVID-19 patients.
Language:Jupyter Notebook
you27-mohamed/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
you27-mohamed/RetinaSegmentation-DL
Language:Jupyter Notebook1
you27-mohamed/Automated-Tool-for-Positive-Selection-ATPS-
ATPS is a automated tool for positive selection. we have developed ATPS to detects positively selected genes (PSGs), allows analysis of specific evolutionary branches and also it print out the Bayes Empirical Bayes (BEB) analysis. ATPS allow user to fetch data from NCBI or input your data using arguments.
you27-mohamed/docker
⛴ Docker image of Nextcloud
you27-mohamed/SolProp_ML
you27-mohamed/pyCircos-examples
Example notebooks of pyCircos
you27-mohamed/workshop_omics_integration
Workshop in omics integration and systems biology
you27-mohamed/microbiome-PD
Microbiome Parkinson study
you27-mohamed/PosiGene