miqg Goto Github PK

30son30

absplice_analysis

agop_feature_learning

aracne-ap

Network Reverse Engineering through AP inference of Mutual Information

betareg

:exclamation: This is a read-only mirror of the CRAN R package repository. betareg — Beta Regression

clusterprofiler

:bar_chart: A universal enrichment tool for interpreting omics data

compybio

Python tools to solve typical computational biology problems

coursera-machine_learning

Machine Learning course notes and exercises by Andrew Ng (Stanford University, Coursera)

cross-modal-autoencoders

einet

Uncertainty and causal emergence in complex networks

ema-data-scratching-with-rselenium

Data Scratching from the European Medicines Agency (EMA)

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

ggplot2-graphic-design

gridengine

A lightweight Python library for distributed computing on Sun Grid Engines

learn2count

Structure learning based for zero-inflated negative binomial data

leiden_clustering

Cluster your data matrix with the Leiden algorithm.

miqg.github.io

personal blog and portfolio

neti2

V1

normalisr

Linear association tests (differential and co-expression) for scRNA-seq

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

pangolin

Pangolin is a deep-learning method for predicting splice site strengths.

practical_tools_for_quick_data_visualization

R-based tools that facilitate EDA.

project_template

Template to give structure to new projects from the start

publication_robustica

publication_zadra_ttll11

Scripts for publication Zadra et. al. 2021

pyfoldx

pyFoldX: python bindings for FoldX.

python_course_vhio

qtlmap

Portable eQTL analysis and statistical fine mapping workflow used by the eQTL Catalogue

scikit-learn

scikit-learn: machine learning in Python

splicemap