Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
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Updated
May 27, 2021 - Python
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
Discriminant Analysis with Network PROcessing
A python library to develop genomic data simulators
Various python programs I use for the manipulation of SNP genotype datasets and other bioinformatics tasks. This repository features miscellaneous scripts to help work efficiently in common bioinformatics tasks I encounter. Use at own risk
This is a final group project for Computational Biology (CS167) implementing Tempo (http://bcb.cs.tufts.edu/tempo/) on a unique Parkinson's dataset. This project was contributed to equally by Kevin Kapner, Carlos Lopez-Rodriguez, and Qing Zhu.
PCTA web application by Django
Use Deep Learning Methods to analyze gene based microarray data to make classifcations on diseases, especially cancers, where the model is going to identify cancer stages for different cancers.
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