haroon123 Goto Github PK
Name: Haroon Kalam
Type: User
Name: Haroon Kalam
Type: User
Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".
Near-optimal RNA-Seq quantification
kallisto|bustools workflow for pre-processing single-cell RNA-seq data
A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Scripts for HarvardX courses: PH525x
Model-based analysis of APA using 3' end-linked reads
:speech_balloon: Machine Learning Course with Python
Single-cell Transcriptome and Regulome Analysis Pipeline
Tools and methods for analysis of single cell assay data in R
Automatically exported from code.google.com/p/meta-proteome-analyzer
From annotated genomes to metabolic screening in large scale microbiotas
An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
Machine Learning for MHC I peptide classification
MicrobeCensus estimates the average genome size of microbial communities from metagenomic data
A versatile pairwise aligner for genomic and spliced nucleotide sequences
MISO: Mixture of Isoforms model for RNA-Seq isoform quantitation
Multiview Intercellular SpaTial modeling framework
Tutorial on model assessment, model selection and inference after model selection
Welcome to the mothur project, initiated by Dr. Patrick Schloss and his software development team in the Department of Microbiology & Immunology at The University of Michigan. This project seeks to develop a single piece of open-source, expandable software to fill the bioinformatics needs of the microbial ecology community.
MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.
Aggregate results from bioinformatics analyses across many samples into a single report.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more
Antibiotic resistance prediction in minutes
The simplest, fastest repository for training/finetuning medium-sized GPTs.
NicheNet: predict active ligand-target links between interacting cells
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.