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  • šŸ‘‹ Hi, Iā€™m @zqw1103
  • šŸ‘€ Iā€™m interested in quantitatively drawing insights from big datasets using appropriate programming toolkits
  • šŸŒ± Iā€™m currently learning Bioinformatics and Data Science
  • Technical skills: Python R Bash Rshiny SQLite
  • ML: NumPy Pandas scikit-learn matplotlib TensorFlow Keras caret dplyr tidyr
  • šŸ“« How to reach me: [email protected]

Here will contain multiple projects I have done throughput learning processes and projects will be in seperate repositories. The following listed project name in a dictionary format like(Where is the project from: name of project inside repository):

Zunqiu Wang's Projects

docs icon docs

Codecademy Docs is a collection of information for all things code. šŸ“•

factoextra icon factoextra

Extract and Visualize the Results of Multivariate Data Analyses

fastp icon fastp

An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

fastqcr icon fastqcr

fastqcr: Quality Control of Sequencing Data

labs icon labs

Rmd source files for the HarvardX series PH525x

learningalgorithms icon learningalgorithms

Code repository associated with Learning Algorithms: A Programmer's Guide to Writing Better Code. https://oreil.ly/learn-algorithms

linear-models-r icon linear-models-r

Going beyond the t-test in R and introducing linear regression and ANOVA (http://tinyurl.com/linear-models-r)

lumpy-sv icon lumpy-sv

lumpy: a general probabilistic framework for structural variant discovery

macs icon macs

MACS -- Model-based Analysis of ChIP-Seq

ml_cheatsheet icon ml_cheatsheet

A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

nf-training icon nf-training

Training material for https://carpentries-incubator.github.io/workflows-nextflow/

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