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## General | |
### System preferences | |
# change date and regional settings | |
language & region | region | spain | |
date & time | clock | show date | |
# change trackpad | |
point & click | |
enable tap to click | |
change secondary click to bottom right corner | |
disable look up |
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// Custom JavaScript for Websites Chrome Extension Script for | |
// the italian dictionary www.treccani.it | |
// Author: Nacho - NachoTime Spanish | |
// URL: itsnachotime.com | |
// License: MIT | |
var style = document.createElement('style'); | |
style.type = 'text/css'; | |
style.innerHTML = ` | |
.accezione + .sottoaccezione hr { |
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// Author: Nacho - NachoTime Spanish | |
// URL: bit.ly/nachotime_vocab | |
// License: MIT | |
function newLink(opts) { | |
let link = document.createElement('a'); | |
link.href = opts.href; | |
link.innerHTML = opts.content; | |
link.target = opts.newTab ? '_blank' : ''; | |
link.style = opts.style; |
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get_sparse_pca <- function(gbm, n_pcs = 10, fastpath = FALSE) { | |
x <- as.matrix(t(Biobase::exprs(gbm))) | |
mu <- colMeans(x) | |
s <- apply(x, 2, sd, na.rm = TRUE) | |
s[s == 0] <- min(s[s > 0]) | |
svd_res <- irlba::irlba(x, nv = n_pcs, center = mu, scale = s, fastpath = fastpath) | |
n <- dim(x)[1] | |
variance_sum <- sum(apply(x, 2, var, na.rm = TRUE)/(s^2)) | |
var_pcs <- svd_res$d^2/(n - 1)/variance_sum | |
pca_with_outliers <- list( |
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const stampit = require('stampit') | |
Grade = stampit({ | |
init(percentage) { | |
this.percentage = percentage | |
this.grades = [ | |
{letter: 'A', minimumPercentage: 0.9, passing: true}, | |
{letter: 'B', minimumPercentage: 0.8, passing: true}, | |
{letter: 'C', minimumPercentage: 0.7, passing: true}, | |
{letter: 'D', minimumPercentage: 0.6, passing: true}, |
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El director del periódico de La Razón, Francisco Marhuenda, ha sido nombrado comisario honorario de la Policía Nacional por decisión del ministro del Interior en funciones, Jorge Fernández Díaz, han informado a eldiario.es fuentes policiales. El reconocimiento al periodista se produce a punto de cumplirse cuatro meses del Gobierno en funciones y cuando unas nuevas elecciones generales se avistan para el próximo mes de junio. | |
La Ley Orgánica 9/2015, de Régimen de Personal de la Policía Nacional, establece en su artículo 86.2 que “la distinción de miembro honorario de la Policía Nacional podrá otorgarse a aquellas personas que, no habiendo pertenecido al citado Cuerpo, se hubieran distinguido por los merecimientos contraídos en virtud de la labor realizada a favor del mismo”. | |
El expediente en el que se recogen los méritos para recibir la distinción es interno y no se hace público, por lo que resulta imposible conocer qué actuaciones ha protagonizado el agraciado para recibirla. La semana pasada, la Audiencia |
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activated_T_cells | T.8Nve.Sp.OT1 | spleen OT1 tg Naïve CD8 | OT-I tg 6W spleen transfer of 5x10^3 OTI cells Listeria.OVA 5x10^3 cfu | |
---|---|---|---|---|
activated_T_cells | T.8Eff.Sp.OT1.d6.LisOva | spleen OT1 tg effectors CD8 day 6 Listeria.OVA | 4- 8+ 45.1+ OT-I tg > B6.CD45.2 6W spleen transfer of 5x10^3 OTI cells Listeria.OVA 5x10^3 cfu | |
activated_T_cells | T.8Eff.Sp.OT1.d8.LisOva | spleen OT1 tg effectors CD8 day 8 Listeria.OVA | 4- 8+ 45.1+ OT-I tg > B6.CD45.2 6W spleen transfer of 5x10^3 OTI cells Listeria.OVA 5x10^3 cfu | |
activated_T_cells | T.8Eff.Sp.OT1.d10.LisOva | spleen OT1 tg effectors CD8 day 10 Listeria.OVA | 4- 8+ 45.1+ OT-I tg > B6.CD45.2 6W spleen transfer of 5x10^3 OTI cells Listeria.OVA 5x10^3 cfu | |
activated_T_cells | T.8Eff.Sp.OT1.d15.LisOva | spleen OT1 tg effectors CD8 day 15 Listeria.OVA | 4- 8+ 45.1+ OT-I tg > B6.CD45.2 6W spleen transfer of 5x10^3 OTI cells Listeria.OVA 5x10^3 cfu | |
activated_T_cells | T.8Mem.Sp.OT1.d45.LisOva | spleen OT1 tg Memory CD8 day 45 Listeria.OVA | 4- 8+ 45.1+ OT-I tg |
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install.packages("yaml") | |
# change path to your favorite local directory | |
gene_list <- function(filename, format = "yaml", path = "/Users/nacho/gene_info/gene_sets"){ | |
path <- file.path(path, filename) | |
if (format == "yaml"){ | |
raw_genes <- yaml::yaml.load_file(path) | |
# TODO: run through the nested names in genes and check that | |
# there are no "." or ":", give warning or replace with "_" | |
unlisted_genes <- unlist(raw_genes) |
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my_factor <- factor(c("a", "b", "c", "b", "c"), levels = c("c", "b", "a")) | |
model.matrix(~my_factor) # smyth's way | |
m <- model.matrix(~ 0 + my_factor) # my way | |
colnames(m) <- levels(my_factor) | |
makeContrasts(average_levels = (a + b +c)/3, | |
b_vs_a = b - a, levels = m) |
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targets <- read.table("targets.txt", header = TRUE) | |
counts <- read.delim("counts.txt", row.names = "gene_id") | |
counts <- counts[, targets$sample_name] # important, the ordering of the columns in the counts file must match the sample_name in the targets file | |
group <- factor(targets$virus_dpi, levels = unique(targets$virus_dpi)) | |
library(edgeR) | |
y <- DGEList(counts = counts, group = group) | |
y <- calcNormFactors(y) | |
design <- model.matrix( ~ 0 + group, data = y$samples) |
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