madhulika-ebi Goto Github PK
Name: Madhulika Mishra
Type: User
Bio: computational biologist
Name: Madhulika Mishra
Type: User
Bio: computational biologist
Tools associated with the Calico Murine Aging Cell Atlas, Kimmel 2019 et. al., Genome Research
A comprehensive gene set function enrichment tool for multiple species.
The analysis framework of gene expression data in case the sample groups are very similar.
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
A prediction model for differential gene expression (DE) based on genome-wide regulatory interactions
Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.
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
Shiu Lab code base for Machine Learning implemented in SciKit-Learn
Pipeline for batch effect correction in Baseline experiments proposed by Guillaume HEGER, trainee in Gene Expression Team, EMBL-EBI in 2019
A guide to getting {renv} projects into Docker images
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
A repository for setting up a RNAseq workflow
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
Wrapper R scripts for performing a weighted-gene co-expression network analysis (WGCNA)
An open access book on scientific visualization using python and matplotlib
Hierarchical, iterative clustering for analysis of transcriptomics data in R
Weighted gene co-expression network analysis for scRNA-seq data in Seurat
Pipeline for exploring metebolic heterogeneity at single-cell resolution
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Pipeline of time-ordered gene coexpression network (TO-GCN) construction from three-dimensional (gene expression, condition, and time) data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.