-
MedUni Wien
- Vienna
-
07:25
(UTC +02:00) - https://nvaulin.github.io/
- https://t.me/nvaulin
- in/nvaulin
Highlights
- Pro
Lists (2)
Sort Name ascending (A-Z)
Stars
A multimodal model predicting chromatin-associated proteins binding on the human genome.
CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.
This is website of Igor Adameyko's lab
Polycomb is a set of proteins that regulate gene expression, especially in the human brain. They form long-range DNA loops between genes, and those loops spread gene repression programs. However, m…
Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.
Python Programming for Biologists
Code repository for the book "Python for the Life Sciences" by Lancaster & Webster
A graduate-level elective course: Python Programming for Life Science Students
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
This repository contains implementations and illustrative code to accompany DeepMind publications
MetaFX – library for feature extraction from whole-genome metagenome sequencing data
Materials for the workshop at Genome Architecture and Function 2024 Workshop
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
Social and fun boardgame about IT. Best with 🍻
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
Materials for Skoltech course "Foundations of Software Engineering" taught during 2021.
Python bindings to and Jupyter Notebook+Lab integration for the HiGlass viewer
This is a repository dedicated to the project "CTADo — Comparison tool for Topologically Associated Domains" within the framework of training at the Bioinformatics institute https://bioinf.me/
A comprehensive library for computational molecular biology
Cytograph version used for adult human-brain analysis
scTriangulate is a Python package to mix-and-match conflicting clustering results in single cell analysis and generate reconciled clustering solutions