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ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

algorithms-for-dna-sequencing

Codes from Coursera's course Algorithms for DNA sequencing, part of genomic data science specialization offered by Johns Hopkins University

algorithms-for-dna-sequencing-1

Coursera MOOC Algorithms for DNA Sequencing by Ben Langmead, PhD, Jacob Pritt

bda_r_demos

Bayesian Data Analysis demos for R

bioconductor

coursera-ads

Solutions to Algorithms for DNA Sequencing

courseralectures

Lecture Materials for Coursera Courses by Roger Peng

courses

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

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

distribution-zoo

App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica and Stan

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

elements-of-statistical-learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

figures

R code for figures on Statistics with R slides

fmj

genbioconductor

Materials for Genomics Data Science: Introduction to Bioconductor

genstats

Statistics course for JHU Genomic Data Science Sequence

genstats_site

Site for Genomic Data Science Class

homework-0

interactive-tutorials

Interactive Tutorials

jhsph753

Web page for JHSPH Advanced Methods/Applied Statistics

jhsph753and4

Class github repository for 751 and 2; doctoral classes in the Department of Biostatistics at Johns Hopkins

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

labs

Rmd source files for the HarvardX series PH525x

metabolomics_pipeline

Pipeline to process UPLC-MS/MS data with XCMS

mr-code

Code for implementing Mendelian randomization investigations

mychembl

Resources used to create the myChEMBL virtual machine

pyexcel

Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files

python

Python script and Documents

r-coursera

R Programming by Roger D. Peng, PhD, Jeff Leek, PhD, Brian Caffo, PhD on Coursera.org

rcode-stats-bubbles

Here is the material for a workshop series about biostatistics in R. Topics will include data management, a lot of (generalized) linear (mixed) models, bayesian and frequentist principles, simulations, multi-model inference... or whatever you ask me for