nikolayoskolkov Goto Github PK
Name: Nikolay Oskolkov
Type: User
Company: SciLifeLab and Lund University
Bio: Data Scientist
Twitter: NikolayOskolkov
Location: Lund, Sweden
Name: Nikolay Oskolkov
Type: User
Company: SciLifeLab and Lund University
Bio: Data Scientist
Twitter: NikolayOskolkov
Location: Lund, Sweden
Material for advanced Python course 2019
Check validity of AncientMetagenomeDir dataset
Repository containing lists of all published ancient metagenome samples (and related)
Here I demonstrate how to automatically detect the number of clusters in scRNAseq data
Corona infection related computations
Here I show how to use Convolutional Neural Networks (CNNs) for Ancient DNA analysis
Here I show how to utilize Bayesian Deep Learning using PyMC3 for making more accurate and safer predictions for biomedical applications
Here I show how to use Deep Learning for biological and biomedical Data Integration.
Here I demonstrate how to use Faster-RCNN and Mask-RCNN for cell detection using Human Protein Atlas (HPA) digital image data
Here I deposite input files and Jupyter notebooks on detecting Neanderthal introgression analysis
Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
Here I cover linear and non-linear dimension reduction techniques for single cell genomics
How to us univariate and multivariate feature selection for OMICs integration
Here I discuss common pitfalls in Genetics research due to the high-dimensional nature of genetic variation data that suffers from the Curse of Dimensionality
Here I explain batch-effects correction techniques for scRNAseq experiments
Checking how tSNE and UMAP depend on different initialization scenarios
Here I explain the math behind UMAP and show how to program it from scratch in Python
Here we provide scripts used for analysis of fungal community in Iceman metagenomic data
Here we provide a primer-workflow for biological data integration analysis.
Deriving and coding Linear Mixed Model (LMM) from scratch
Implementation of LSTM for detecting regions of Neanderthal introgression in modern human genomes
Comparison of single cell normalization strategies
Deriving and coding Linear Mixed Model in Restricted Maximum Likelihood (REML) approach
This is a teaching material for scRNAseq workshop within SBW2022
R toolkit for single cell genomics
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.