learning-jusue404 Goto Github PK

459bioinformatics

Performed Rich-Club Analysis on Exocytosis and Endocytosis PPI Networks

accessing_public_genomic_data

Tutorials on accessing public reference and genomic data

atac_workshop

ATAC_seq Workshop

atacseq_workshop

ATACseq workshop, Jachranka 2017

bcb420.2019.biogrid

bioc2017_tcga_gtex_bof

This repository contains a brief outline for a 'Birds-of-Feather' (BOF) session to meet and discuss analyzing publicly available cancer data from TCGA & GTEx

bioc281

Repository for BIOC 281: Introduction to Single Cell Expression Analysis

bioinf545

ATAC-seq lab for BIOINF545

biopython-notebook

Notebooks to introduce biopython

biopython_workshop

A basic introduction to Biopython, intended for a classroom based workshop

bios201

Course material for "BIOS 201: Next-generation sequencing and applications"

bios201-1

Quick course that I had to take at the beginning of SIMR. Linked here: https://github.com/zaczap/bios201

biostar-tutorials

Code for biostar tutorials - mostly R and Perl

centipede.tutorial

:bug: How to use CENTIPEDE to determine if a transcription factor is bound.

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

compbio_src

Introduction to Computational Biology - source Rmarkdown files

concordia_workshop_biopython

Pratical to learn basic Biopython usage

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cytofnet

Unbiased identification of ideal clusters, k, in mass cytometry time-of-flight (CyTOF) data, with interrogation of clusters via network analysis.

cytoscape_tutorials

A set of Cytoscape tutorials for my students

data-science-exercises

Folder with data science exercises, updated as I study and practice

data-science-tutorial

Code material for a data science tutorial

datasets

Data and code behind the Data Science Path curriculum at Codecademy

datasets_mh

Datasets for ML, Analysis, etc

dataviz

A book covering the fundamentals of data visualization.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-book-1

:book: MIT Deep Learning Book in PDF format

deeplearning-gdansk2019-tutorial

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

dge_workshop

dge_workshop_salmon