bioinformatics-core-shared-training/microarray-analysis

Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)

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tlatkowski/deep-learning-gene-expression

Deep learning methods for feature selection in gene expression autism data.

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tarlaun/BioInf_Project

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

Language: Python - Size: 96.2 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

Nico-Curti/DNetPRO

Discriminant Analysis with Network PROcessing

Language: Python - Size: 743 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

ahmedmoustafa/gene-expression-datasets

Collection of gene expression datasets

Size: 22.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

remytuyeras/HaploDynamics

A python library to develop genomic data simulators

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avogogias/MLCut

A visualization support tool for advanced hierarchical clustering analysis. MLCut allows cutting dendrograms at multiple heights/levels. In other words, it allows to set multiple local similarity thresholds in potentially large dendrograms. It uses two coordinated views, one for the dentrogram (radial layout), and another for the original multidimensional data (parallel coordinates). The purpose is to add flexibility and enforce transparency in the process of selecting branches that correspond to the different clusters, while enabling the discovery of visual patterns in the original data.

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Tejindersingh1/Tumor-Prediction-with-ML

Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.

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kpatel427/GEOquery-scripts

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

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srp33/ExpressionAble

Transform, query, and merge tabular files with the expressionable Python module. This tool is used primarily for gene-expression data.

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3inar/nowaclean

NOWAC data cleaning package

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dhimmel/stargeo

Generating expression signatures for disease using STARGEO

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a-fsh-r/Sharif-An-Introduction-to-Bioinformatics-Project

This repository contains my solutions for project of An Intro to Bioinformatics course held at Sharif University of Technology (SUT) by Prof. Somayyeh Koohi and Prof. Ali Sharifi Zarchi in Fall 2021, 1400-1.

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h-saadatmand/High-dimensional-Feature-Selection-SIFE-MATLAB

An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB

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Keniajin/protGear

protGear is a package for protein microarray data processing just before the main analysis.

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SamThilmany/microarray-analysis_treatment-kinetics

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

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zakimjz/TriCluster

TriCluster and microCluster gene expression clustering algorithms

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CNuge/miscellaneous_scripts

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

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eliopato/pylluminator-data

Metadata used to process Illumina Infinium DNA methylation data with pylluminator

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iamandreatonina/Network_based_Data-Analysis-

Project for the course of Network Based Data Analysis :computer:

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Mahsa-Ehsanifard/GEO_microarray

GEO microarray data analysis

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NomadicPython/geo_sample_parser

Parser for .soft files from GEO datasets

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SamThilmany/Microarray_Analysis_Pipeline-Cell_line_selection

A pipeline to analyze DNA microarrays by Agilent.

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xlxs4/meta-analysis

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

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AcubeSAT/meta-analysis

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

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Hazperera/Gene_Expression_Analysis

differential expression analysis using R :dna:

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PsorTheDoctor/microarray-data

Code for a future "Classification of microarray data" paper.

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jarnokoetsier/EXIS

EXIS is an interactive R shiny application for isoform-specific expression analysis.

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Amandahsr/LSM3241_MicroarrayDifferentialAnalysis

NUS LSM3241: Differential Gene Analysis of Telomere Microarray Data

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KamilSuchanek95/micaff

MicAff is a genomic data analysis tool. Application made with Shiny. It is used to analyze the data from the microarray experiment. Running on a local server, it allows you to load CEL data, their initial processing and further analysis.

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sjwilczynski/geneExpr

Code for my master thesis: "Microarray data analysis in prediction of breast cancer metastasis"

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urmi-21/microarrayDataProcessing

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swiri021/PCTA_web_application

PCTA web application by Django

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KevKap/Comp167TempoProject

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.

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vvrahul11/Breast-Cancer-grade-analysis

A structural equation modeling approach for the identification of gene expression adaptation in breast cancer patients at grade specific level

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3inar/pmadsim

pmadsim — Prospective Microarray Data Simulation. This is a fork of the madsim R package.

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Glewando/Microarray_Analysis_Brain_6h_LPS

Analysis of microarray data from dHPC of rats treated with lps for 6h

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