Nelle Varoquaux NelleV
NelleV
/ gist:969044
Created
May 12, 2011 17:45
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| """ | |
| ===================================================== | |
| A demo of the K Means clustering algorithm | |
| ===================================================== | |
| """ | |
| print __doc__ | |
| import numpy as np | |
| from scikits.learn.cluster import MiniBatchKMeans, KMeans |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import matplotlib | |
| from matplotlib import pyplot as plt | |
| from matplotlib.collections import PatchCollection | |
| from matplotlib import patches | |
| """ | |
| This code is meant to analyse where telomeres and centromers are most often |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| ENG_PREFIXES = { | |
| -24: "y", | |
| -21: "z", | |
| -18: "a", | |
| -15: "f", | |
| -12: "p", | |
| -9: "n", | |
| -6: u"\u03bc", # Greek letter mu | |
| -3: "m", | |
| 0: "", |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "Lecture-0-Scientific-Computing-with-Python" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "Lecture-1-Introduction-to-Python-Programming" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
NelleV
/ R - named matrix with gene_id and go_terms to list mapping gene_id to GO_term
Created
March 1, 2019 23:43
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| genes = structure(list(go_id = c("GO:0016787", "GO:0005634", "GO:0016798", | |
| "GO:0008152", "GO:0005737", "GO:0004553", "GO:0005975", "GO:1903561", | |
| "GO:0015929", "GO:0004563", "GO:0102148", "GO:0001934", "GO:0004672", | |
| "GO:0005524", "GO:0006468", "GO:0016020", "GO:0016021", "GO:0016740", | |
| "GO:0005886", "GO:0005634"), refseq_mrna = c("NM_001001333", | |
| "NM_001001333", "NM_001001333", "NM_001001333", "NM_001001333", | |
| "NM_001001333", "NM_001001333", "NM_001001333", "NM_001001333", | |
| "NM_001001333", "NM_001001333", "NM_001003817", "NM_001003817", | |
| "NM_001003817", "NM_001003817", "NM_001003817", "NM_001003817", | |
| "NM_001003817", "NM_001003817", "NM_001003817")), row.names = c(NA, |