Skip to main content

PyOVERCAST

A Python package for mining key transcription factors from transcriptome data.

Installation

pip install numpy pandas statsmodels scipy seaborn matplotlib PyOVERCAST

Usage

from PyOVERCAST import clinks, predict

if __name__ == '__main__':
	# download TF-target set, only need to run once!!!
	clinks.download_data()

	# list available TF-target set
	sets_names = clinks.get_sets(species='Homo sapiens')
	print(sets_names)

	# list avaiable TFs
	tfs_codes = clinks.get_tfs(set_name='human_hocomoco_CLink_rci4_1w_0.8')
	print(tfs_codes)

	# get targets
	targets = clinks.get_targets(set_name='human_hocomoco_CLink_rci4_1w_0.8', tf='NFKB1_HUMAN.H11MO.1.B')
	print(targets)
	
	# predict one DEG-list
	result = predict.olcr(set_names=['human_jaspar_CLink_rci4_1w_0.8', 'human_hocomoco_CLink_rci4_1w_0.8'], list_file='./PyOVERCAST_data/input_deg-list.txt', win=30, thread_n=16)

	# or predict one DEG-list with bootstrap
	result = predict.olcr_bootstrap(set_names=['human_jaspar_CLink_rci4_1w_0.8', 'human_hocomoco_CLink_rci4_1w_0.8'], list_file='./OVERCAST_data/input_deg-list.txt', win=30, bs_n=1000, thread_n=32)

	# or predict one DEG-list with bootstrap and permutation
	result = predict.olcr_bootstrap_permutation(set_names=['human_jaspar_CLink_rci4_1w_0.8', 'human_hocomoco_CLink_rci4_1w_0.8'], list_file='./OVERCAST_data/input_deg-list.txt', win=30, bs_n=1000, thread_n=32)

	# save result to text file
	result.to_csv('output.txt', sep='\t', index=False, encoding='utf-8')
	
	# plot OLC matrix
	predict.plot_olc(set_names=['human_jaspar_CLink_rci4_1w_0.8', 'human_hocomoco_CLink_rci4_1w_0.8'], list_file='./PyOVERCAST_data/input_deg-list.txt', tf='MA0844.2_XBP1', win=30)

	# plot OLC matrix
	predict.plot_olc(set_names=['human_jaspar_CLink_rci4_1w_0.8', 'human_hocomoco_CLink_rci4_1w_0.8'], list_file='./PyOVERCAST_data/input_deg-list.txt', tf='MA0844.2_XBP1', win=30)

	# plot fitted 3D U-surface
	predict.plot_contour(set_names=['human_jaspar_CLink_rci4_1w_0.8', 'human_hocomoco_CLink_rci4_1w_0.8'], list_file='./PyOVERCAST_data/input_deg-list.txt', tf='MA0844.2_XBP1', win=30)

Metadata

Release files for PyOVERCAST 1.0.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PyOVERCAST 1.0.11
File Size Uploaded
pyovercast-1.0.11.tar.gz 13.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PyOVERCAST 1.0.11
File Interpreter ABI Platform
pyovercast-1.0.11-py3-none-any.whl Python 3 none any Details

Total release size: 26.8 kB

Release files / pyovercast-1.0.11.tar.gz

Download URL pyovercast-1.0.11.tar.gz
Size 13.7 kB
Tags Source
SHA-256 checksum
How to use checksums
7a590055490c1a45d53860b4b7c067ea82da791879e8518c7ed20b29d3dd1f07
BLAKE2b-256 checksum
How to use checksums
7f602e01de44b0c0e82f5f26ea03bf027ed413eb0401c4b6c9a95987e4dc3b88
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.13

Release files / pyovercast-1.0.11-py3-none-any.whl

Download URL pyovercast-1.0.11-py3-none-any.whl
Size 13.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2f71623e3b314ded33b1aca5090ccd54a5fad923110a19d0e12598201dadb11c
BLAKE2b-256 checksum
How to use checksums
b662f888e81f5bdcadb2779a1910488c939f3a673a13338f0173462e9a1ab119
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.13

Release history Release notifications | RSS feed

1.0.17

2 release files

1.0.16

2 release files

1.0.15

2 release files

1.0.14

2 release files

1.0.13

2 release files

1.0.12

2 release files

This release

1.0.11 This release

2 release files

1.0.10

2 release files

1.0.9

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page