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#

microarray-data-analysis

Here are 36 public repositories matching this topic...

MAAPster is a comprehensive tool to perform transcriptome analysis of human or mouse Affymetrix gene expression data

  • UpdatedJan 21, 2025
  • R

Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia

  • UpdatedMay 27, 2021
  • Python

PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery

  • UpdatedApr 17, 2025
  • Python

Acute Myeloid Leukemia Microarray Analysis

  • UpdatedFeb 8, 2021
  • Jupyter Notebook

Source code and description of GCSscore Package

  • UpdatedAug 4, 2023
  • R

Tumor Identification Based on Machine Learning Analysis of Microarray Data

  • UpdatedFeb 1, 2025
  • Jupyter Notebook
pylluminator

Python package for processing and analyzing Illumina DNA methylation data

  • UpdatedJun 19, 2025
  • Python

"Identification of Biomarkers for Early-Stage Hepatocellular Carcinoma (HCC)" aims to address the critical global challenge of late-stage cancer diagnosis, which significantly lowers patient survival rates. It explores microarray gene expression datasets from GEO to identify potential early-stage biomarkers for improved patient outcomes.

  • UpdatedOct 3, 2024
  • Jupyter Notebook

An R tool to detect and correct batch-effects in gene-expression data (Microarray and bulk-RNAseq))

  • UpdatedJan 7, 2023
  • R

A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.

  • UpdatedJul 28, 2020
  • Python

Analysis of long continuous stretches of homozygosity of the human genome.

  • UpdatedMar 19, 2023
  • Jupyter Notebook

This R script is used to analyze microarray data acquired by an Agilent SureScan Microarray Scanner.

  • UpdatedJan 13, 2023
  • R

In this project, we designed a pipeline to identify new biomarkers with microarray analysis. (AI & Intelligent Medicine, Spring 2022).

  • UpdatedJun 7, 2022
  • Python

Scripts using GEOquery package to fetch expression matrices and phenotypic data associated with GSE datasets

  • UpdatedNov 18, 2019
  • R

Identification for Key Pathways and Genes in Polycystic Ovary Syndrome (PCOS) using a multi-omics approach, as part of the Applied High Throughput Analysis course at Ghent University

  • UpdatedJan 18, 2024

Visualization of co-expression networks

  • UpdatedJul 27, 2022
  • Java

Selection of genes to be cultured and studied on-board for the AcubeSAT nanosatellite project. Microarray data analysis in R. Meta-analysis in R. Literature review and more

  • UpdatedJul 5, 2022
  • HTML

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