Kaziaa's repositories
data-science-learning-resources
A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
ML_medbioinfo
Machine Learning in Medical Bioinformatics
practical_cheminformatics_tutorials
Practical Cheminformatics Tutorials
3D-Generative-SBDD
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)
awesome-biological-image-analysis
A curated list of softwares, tools, pipelines, plugins etc. for image analysis related to biological questions.
awesome-molecular-generation
Awesome papers related to generative molecular modeling and design.
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
bash-handbook
:book: For those who wanna learn Bash
docking
GNN enabled surrogate modeling for chemical docking
Generative-model
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
git-collaborative
Collaborative distributed version control lesson.
GWASTutorial
GWAS Tutorial for Beginners
jazzy
Efficient calculation of hydration free energies and hydrogen-bond strengths.
Kinase-Cross-Dock
Benchmarking of cross-docking strategies for kinases
kinase-kinoml
Structure-informed machine learning for kinase modeling
Machine_learning
An Open Source Machine Learning Framework for Everyone
Pharmacopjhore--MolSLEPA
Interpretable Fragment-based Molecule Design with Self-learning Entropic Population Annealing
pqsar2cpd
pqsar2cpd is a deep learning algorithm for translation of activity profiles into novel molecules.
PyDESeq2
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Python_project_based_learning
Curated list of project-based tutorials
squidpy
Spatial Single Cell Analysis in Python
teachopencadd
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Teal-Teal-Interactive-Exploratory-Data-Analysis-with-Shiny-Web-Applications
Exploratory Web Apps for Analyzing Clinical Trial Data
tidymodules
An Object-Oriented approach to Shiny modules
Toxicityprediciotn-mitochondrial-tox
Supporting information from "Predicting the Mitochondrial Toxicity of Small Molecules: Insights From Mechanistic Assays and Cell Painting Data" by Marina Garcia de Lomana, Paula Andrea Marin Zapata, and Floriane Montanari
training-collection
Collection of bioinformatics training materials