| #!/usr/bin/env bash | |
| # | |
| # Reduce compilation time and size of dependencies by trimming most of the | |
| # plugins unrelated to Lakehouses. Also increases the startup time of the | |
| # Development Server. | |
| # | |
| # Catalogs in testing/trino-server-dev/etc/catalog need to be edited. | |
| # | |
| # Compile project with ./mvnw clean install -DskipTests | |
| # |
| ros2 param load /mappings mappings2.yaml |
| import os | |
| import importlib | |
| import rosidl_runtime_py | |
| import json | |
| def get_msg_type(type): | |
| symbol = os.path.basename(type) | |
| module = ".".join(os.path.split(os.path.dirname(type))) | |
| return getattr(importlib.import_module(module), symbol) |
| #include <errno.h> | |
| #include <fcntl.h> | |
| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <time.h> | |
| int main(int argc, char **argv) { | |
| // Get arguments | |
| if (argc != 4) { | |
| fprintf(stderr, "usage: %s nrows ncols filename\n", argv[0]); |
| #!/usr/bin/env Rscript | |
| library(BGLR) | |
| data(mice) | |
| gzmice <- gzfile("mice.raw.gz", "w") | |
| write.table(cbind(mice.pheno, mice.X), gzmice, row.names = F, quote = F) | |
| close(gzmice) |
| #!/usr/bin/env Rscript | |
| # | |
| # Converts the mice dataset to a BED file that can be used with PLINK and | |
| # BEDMatrix. | |
| # | |
| library(BGLR) | |
| data(mice) |
| #!/bin/bash | |
| set -e | |
| # Only run on normal commits, ignore pull requests | |
| if [ "${TRAVIS_PULL_REQUEST}" = "false" ]; then | |
| # Clone gh-pages branch into inst/web | |
| git clone --branch gh-pages https://${GH_TOKEN}@github.com/${TRAVIS_REPO_SLUG}.git inst/web | |
| # Copy README | |
| cp README.md inst/web | |
| # Run staticdocs | |
| Rscript -e 'library(staticdocs); library(methods); build_site(launch = FALSE)' |
| library(parallel) | |
| library(BGLR) | |
| library(microbenchmark) | |
| data(mice) | |
| X <- mice.X | |
| y <- mice.pheno$Obesity.BMI | |
| GWAS <- function (i) { | |
| summary(lm(y ~ X[, i]))$coef[2, ] |
When I wrote the TCGA Toolbox and the TCGA.rppa module, one of biggest problems was to match samples and patients.
Both sample and patient files can be accessed through the Open Access HTTP Directory. For glioblastoma multiforme (gbm), the samples can be found in the gbm/cgcc/mdanderson.org/mda_rppa_core/protein_exp/mdanderson.org_GBM.MDA_RPPA_Core.Level_3.1.0.0/ directory, and the patients can be found [in the nationwidechildrens.org_clinical_patient_gbm.txt file in
| [Syncthing] | |
| title=Syncthing | |
| description=Open Source Continuous File Synchronization | |
| ports=22000/tcp|21025/udp |