This repository contains a Jupyter Notebook for the analysis of Non-Small Cell Lung Cancer (NSCLC) data using various machine learning techniques.
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Updated
Jun 24, 2024 - Jupyter Notebook
This repository contains a Jupyter Notebook for the analysis of Non-Small Cell Lung Cancer (NSCLC) data using various machine learning techniques.
My solutions for the project of "An Intro to Bioinformatics" - Sharif University of Technology (SUT) - Prof. Somayyeh Koohi and Prof. Ali Sharifi-Zarchi - Fall 2021(1400-1).
Bioinformatic analysis of gene expression microarray profiles and DGEs on R and R studio
A small utility to quickly tag studies and samples from the NCBI Gene Expression Omnibus (GEO) with a curses interface.
A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.
Subclassification of disease states based on the intersection of literature and expression
analyze_geo_microarrays.py : Differential expression analysis of published microarrays datasets from the NCBI Gene Expression Omnibus (GEO)
Scripts using GEOquery package to fetch expression matrices and phenotypic data associated with GSE datasets
Microarray Analysis Pipeline in Python
The bridge between the NCBI Gene Expression Omnibus and Bioconductor
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