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SOHN's Projects

awesome-single-cell icon awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

bi-be-cs-183-2023 icon bi-be-cs-183-2023

Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

bioinformatics icon bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

cancer_notes icon cancer_notes

A continually expanding collection of cancer genomics notes and data

cellphonedb icon cellphonedb

CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own single-cell transcriptomics data.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hic_tools icon hic_tools

A collection of tools for Hi-C data analysis

ict icon ict

Introduction to computational thinking (Julia)

introductiontoprobabilitypy icon introductiontoprobabilitypy

Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition

islp icon islp

"Learning" Statistical "Learning"

mathutilities icon mathutilities

A collection of some of the neat math and physics tricks that I've collected over the last few years.

mml-companion icon mml-companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

pns icon pns

Collection of Various Concepts in Probability and Statistics

pyscenic icon pyscenic

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

rwrap icon rwrap

Seamlessly integrate R packages into Python.

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