J Kim joowkim
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Sample_ID Validation</title> | |
| <!-- Bootstrap CSS --> | |
| <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet"> | |
| <style> | |
| .invalid { |
joowkim
/ gist:35db1cae580449a8aa6f2e031d1b7bd9
Created
April 1, 2024 17:37
geom_jitter: how to get rid of duplicate dots?
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| geom_boxplot(outlier.colour=NA ) |
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| renamer 's@_R([12])\.fastq\.gz@-R$1.fastq.gz@' *.gz -v |
joowkim
/ Pubmed_ChatGPT.py
Created
March 15, 2023 23:23
— forked from suknamgoong1970/Pubmed_ChatGPT.py
Pubmed ChatGPT
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| import sys | |
| import openai | |
| import json | |
| import pandas as pd | |
| from Bio import Entrez | |
| from datetime import datetime | |
| from PyQt6 import QtWidgets, QtGui | |
| from PyQt6.QtCore import Qt | |
| # Replace with your own ChatGPT API key |
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| func <- function(num) { | |
| result <- c() | |
| vec <- c("TT", "TT", "HT", "TH", "HH", "HH") | |
| # bst <- sample(vec, num, replace = T) | |
| for (i in 1:num) { | |
| coin <- sample(vec, 1)[1] | |
| if (startsWith(coin, "H")) { | |
| result <- c(result, coin) |
joowkim
/ docker & singularity
Created
July 19, 2022 17:59
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| Dockerfile | |
| FROM rocker/r-ver | |
| RUN /rocker_scripts/install_tidyverse.sh | |
| RUN /rocker_scripts/install_python.sh | |
| RUN R --quiet -e 'BiocManager::install("preprocessCore")' | |
| RUN R --quiet -e 'install.packages("pacman", repos="http://cran.us.r-project.org")' | |
| RUN R --quiet -e 'pacman::p_install("methods")' | |
| RUN R --quiet -e 'pacman::p_install("lattice")' |
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| rle <- function(vec) { | |
| n <- length(vec) | |
| return (round( (prod(vec) ^ (1/n)))) | |
| } | |
| vec <- c(65,78,67,34,56,23) | |
| rle(vec) |
joowkim
/ unwanted-effects.ipynb
Last active
July 30, 2021 20:18
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### I am going to make up the tech variable as a batch effect. For example, tech1 is measured by technician 1 and tech2 is measure by technician 2. And I am not interested in the effect of the tech variale, but would like to ignore or remove the effect of the tech variable. " | |
| ] | |
| }, | |
| { |
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| library(naniar) | |
| vis_miss(airquality) | |
| reference | |
| https://cran.r-project.org/web/packages/naniar/vignettes/naniar-visualisation.html |
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