Name: Ranjeet Singh Mahla
Type: User
Company: University of Oxford
Bio: AI and ML; scRNA-Seq; data visualisation; infection and auto immunity; cancer; stem cells; immunometabolism; tuberculosis; COVID19
Location: Oxford UK
Blog: https://www.linkedin.com/in/ranjeetsinghmahla/
Ranjeet Singh Mahla's Projects
Assignment : MSC ML AND AI
A Shiny web app for mapping datasets using Seurat v4
Normalization for single cell RNA-seq data
R-side access to PPI data from Gygi lab
Capstone: Segmenting and Clustering Neighborhoods in Toronto
CAusal Reasoning for Network Identification with integer VALue programming in R
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
This is the alpha version of the CellOracle package
An open-source application for biological image analysis
CellRank: dynamics from multi-view single-cell data. See the docs:
Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
Core functionality of the CGAT code
Clonotype Neighbor Graph Analysis
COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
This vaccine is about COVID19 Vaccine
CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data
dandelion - A single cell BCR/TCR V(D)J-seq analysis package for 10X Chromium 5' data
The Web framework for perfectionists with deadlines.
A tool for removing doublets from single-cell RNA-seq data
R package for detecting doublets in single-cell RNA sequencing data
A Python-based EGA download client
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent