| import numpy as np | |
| from scipy.stats import norm | |
| EPSILON = 1e-10 | |
| DBL_MAX = 1.79769e+308 | |
| M_1_SQRT_2PI = 1.0/np.sqrt(2.0 * np.pi) | |
| t1 = 0.15 | |
| t2 = 2.18 | |
| t3 = 0.725 | |
| t4 = 0.45 |
| name: flowcytometrytools | |
| dependencies: | |
| - matplotlib=1.4.3=np110py27_1 | |
| - numpy=1.10.1=py27_0 | |
| - pandas=0.17.0=np110py27_0 | |
| - pip=7.1.2=py27_0 | |
| - pyparsing=2.0.3=py27_0 | |
| - pyqt=4.10.4=py27_1 | |
| - python=2.7.10=1 | |
| - python-dateutil=2.4.2=py27_0 |
| language: python | |
| python: | |
| - 2.7 | |
| - 3.4 | |
| # Setup anaconda | |
| before_install: | |
| - wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh | |
| - chmod +x miniconda.sh | |
| - ./miniconda.sh -b |
| from __future__ import print_function | |
| import glob | |
| import os | |
| import subprocess | |
| blacklist = [__file__, 'venv', 'venv3', 'build', 'dist'] | |
| def walker(path): | |
| """Folder walker that collects .py files |
| ,ß≥∞Θ µδσ· ßτΘ°Σ,ε÷ßΘ≥Θφ,Σ≥ßσπΣ,ασ°,ε⌠πפ∞,ΘΣπσ· Σ·σ°Σ,ß∞פπ,Σ·≡σ≥Σ ΣΘ°σ≈Σ εΘεπ,τπפ∙,Γε∞αΘφ,Θ∙°α∞ τµ≈Σ,αΘτσπ ∞ασεΘ,ΣΘ∙°α∞Θφ,∞ß,≡Θ÷σ∞Θ Σ∙σαΣ σßσΓ°Θ ≥∞Σ Θ°σ≈,≈πΘεΣ,Θ∙°α∞ ßΘ·≡σ,∞Θδσπ,ε°÷,Θ∙°α∞ Σε·τπ∙·,ατ°Θσ·,∞µσµ,∞στεΘ τß°Σ εαστπΘφ,°≥פε,δτ ∞Σ∙⌠Θ≥,εΣ⌠Ω ßτΘ≡σΩ,ß°Θ· ≥σ∞φ,µδσΘσ· ΣΓß° ßε∙⌠τΣ,÷σε·,÷ß°,π≥φ,≥∞Σ Θ°σ≈,δστ Σδ±≤,∞Θπ°,ΣΘ°σ≈Θφ,∙פ± | |
| αßσ Γσ∙,3476,1553,26,0,1,1,591,0,79,1,0,5,1,0,2,155,8,21,25,2,0,3,0,551,1,0,0,1,3,2,1,7,3,0,1,12 | |
| αßσ ±≡α∩,7147,4203,309,1,1,3,439,1,1592,5,0,5,2,0,0,292,158,295,61,0,2,2,2,789,0,0,0,4,2,3,6,3,2,1,2,129 | |
| αßσ ≈σ°Θ≡α· (∙ßΦ),2114,531,20,0,0,2,1,0,2,1,1,0,1,0,0,35,1,7,3,2,2,1,0,417,0,0,3,0,1,0,0,3,6,0,1,8 | |
| αßσ °σßΘΘ≥Σ (∙ßΦ),2530,497,10,0,1,3,132,1,2,3,0,0,3,0,0,6,3,8,5,2,0,1,1,257,1,0,1,2,4,4,5,0,2,3,3,12 | |
| αßσ °σ≈ΘΘ≈ (∙ßΦ),3393,678,6,0,1,1,4,0,4,0,1,0,5,0,2,2,1,5,2,0,1,0,0,594,0,0,1,4,0,1,6,2,2,3,2,4 | |
| αßΦΘ∩,1340,695,5,0,0,2,165,1,47,0,0,5,0,1,0,5,0,3,2,0,0,1,0,438,7,0,0,1,0,1,0,1,0,1,0,5 | |
| αßΦ∞Θσ∩,170,133,22,0,0,0,0,7,0,0,0,0,0,0,0,68,7,15,13,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0 | |
| αßΘα∞,430,335,30,0, |
| """ | |
| This module implements the Lowess function for nonparametric regression. | |
| Functions: | |
| lowess Fit a smooth nonparametric regression curve to a scatterplot. | |
| For more information, see | |
| William S. Cleveland: "Robust locally weighted regression and smoothing | |
| scatterplots", Journal of the American Statistical Association, December 1979, |
| # install | |
| source("http://bioconductor.org/biocLite.R") | |
| biocLite("flowCore") | |
| # convert | |
| library(tools) # for file_path_sans_ext | |
| library(flowCore) | |
| in.fname <- 'flow123.LMD' | |
| folder <- 'C:\\users\\user\\flow\\' |
Hello,
We'd like to invite you to the Poster Session of the "Python Programming for Biologists" course.
The session will include posters by the students describing their research and utilizing computational tools discussed during the course, including biological data analysis, statistical analysis, visualization and plotting, simulations and more.
See the invitation for a list of poster titles.
The session will take place at 16-18:00 on Wednesday, 17 June 2015 in the Sherman building lobby.