Skip to main content

Semiquantitative densitometric measurement of protein microarrays

Project description

proMAD

Semiquantitative densitometric measurement of protein microarrays

PyPi Status Github issues Build License

Setup

pip install proMAD

Usage

ArrayAnalyse

from proMAD import ArrayAnalyse
aa = ArrayAnalyse('ARY022B')  # set array type
aa.load_collection('test_cases/exp_data')  # set input folder

aa.evaluate("A6")  # get result dictionary
aa.get_spot("A6")  # get raw data
aa.evaluate()  # get result dictionary for all spots

Cutter

  • interactive
from proMAD import Cutter
c = Cutter()

c.load_collection('test_cases/raw_image_folder')  # set input folder
c.set_shape()  # ask for the shape
c.guess_positions()  # use a simple guess as a starting point
c.preview()  # display guess (uses the last loaded image as default)

c.set_positions()  # ask for refined cut positions
c.set_names()  # ask for names
c.preview()  # check in preview
c.save_images('test_cases/formated_image_folder')  # save to folder (will be created if it does not exist
  • direct
from proMAD import Cutter

c = Cutter()

c.load_collection('test_cases/raw_image_folder')  # set input folder
c.shape = (2, 3)
c.cut_positions = [[20, 225, 445], [40, 130, 217, 315]]
c.names = [['OL', 'ML', 'UL'], [None, 'MR', 'UR']]
c.preview()
c.save_images('test_cases/formated_image_folder')  # save to folder (will be created if it does not exist

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

proMAD-0.1.0.tar.gz (23.1 kB view details)

Uploaded Source

Built Distribution

proMAD-0.1.0-py3-none-any.whl (26.2 kB view details)

Uploaded Python 3

File details

Details for the file proMAD-0.1.0.tar.gz.

File metadata

  • Download URL: proMAD-0.1.0.tar.gz
  • Upload date:
  • Size: 23.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for proMAD-0.1.0.tar.gz
Algorithm Hash digest
SHA256 7da55b010c87945c8594314f4c6b0aed2c127fe034d51474fd1041d91987b148
MD5 f88cb20b12ea56dc12cc94c6d85814f4
BLAKE2b-256 159c487e9d9839aeb86c9243ad55f16beb59da7e40f0ccab453afbfd05e79986

See more details on using hashes here.

File details

Details for the file proMAD-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: proMAD-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 26.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for proMAD-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 08d52646c39c938d521dbc856d61ce85030f407518cfb2fc26ac65b656d6f87a
MD5 9aae420ce91f78243bd2b14c924e82fb
BLAKE2b-256 e81608f3655dfa2c0d3c2349ed42d5ac13ba9aa3ca4e226e77bae2218a7afd2b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page