Romcia's repositories
stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
30DayMapChallenge
30 Day Map Challenge 2022
Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
folding_tools
A collection of *fold* tools
alphafill
AlphaFill is an algorithm based on sequence and structure similarity that “transplants” missing compounds to the AlphaFold models. By adding the molecular context to the protein structures, the models can be more easily appreciated in terms of function and structure integrity.
awesome-palestine
A curated list of Palestine and Palestinian-Israeli conflict resources.
aws-for-bioinformatics
AWS for Bioinformatics Researchers
cbioportal
cBioPortal for Cancer Genomics
chisel
CHISEL -- Copy-number Haplotype Inference in Single-cell by Evolutionary Links
deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
gaza
civilian casualties data in Gaza
gcp-for-bioinformatics
GCP for Bioinformatics Researchers
genomicsnotebook
Jupyter Notebooks on Azure for Genomics Data Analysis
getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
recommenders
Best Practices on Recommendation Systems
rethinking
Statistical Rethinking course and book package
scanpy
Single-cell analysis in Python. Scales to >1M cells.
shinylive
A guide for deploying Shinylive app into Github Pages
TeamTeri
Genomics (computational bioinformatic data analysis) running on GCP, AWS or Azure
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
tiny_python_projects
Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.