Name: Ani
Type: User
Company: Norwegian University of Science and Technology
Bio: A medical graduate from Delhi University with post-graduation in bioinformatics from Jawaharlal Nehru University, India.
Twitter: animesh1977
Location: Norway
Blog: https://www.fuzzylife.org
Ani's Projects
A workflow for construction of Gene Expression count Matrices (GEMs). Useful for Differential Gene Expression (DGE) analysis and Gene Co-Expression Network (GCN) construction
Distinguishing between generic and experiment-specific gene expression signals.
Interpretation of RNAseq experiments through robust, efficient comparison to public databases
A python package that implements gene-based scoring system, association analysis, visualization, and machine learning models
Generative Tensorial Reinforcement Learning (GENTRL) model
Open source book: Geocomputation with R
Computations and statistics on manifolds with geometric structures.
A single fast and exhaustive tool for summary statistics and simultaneous *fa* (fasta, fastq, gfa [.gz]) genome assembly file manipulation.
🧬 gget enables efficient querying of genomic reference databases to support the analysis of sequencing data.
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
GMMchi is an algorithm built on top of Gaussian Mixture Modeling to make the identification of mixtures of normal and non-normal components possible.
This is a mirror of Richard Stallman's GNU C Language Intro and Reference, available in Markdown and PDF.
Getting real control over your web application
Google Cloud Platform (GCP) Guide
Bot automatizes periodical google form submissions.
Grammar of Scalable Linked Interactive Nucleotide Graphics
A Visual Based IDE
Tutorials for Machine Learning on Graphs
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.