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)

Release files for PyOVERCAST 1.0.13

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 1.0.13
File Size Uploaded
pyovercast-1.0.13.tar.gz 13.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PyOVERCAST 1.0.13
File Interpreter ABI Platform
pyovercast-1.0.13-py3-none-any.whl Python 3 none any Details

Total release size: 26.8 kB

Release files / pyovercast-1.0.13.tar.gz

Download URL pyovercast-1.0.13.tar.gz
Size 13.7 kB
Tags Source
SHA-256 checksum
How to use checksums
39b8b7eed59c7027343d460e2241916362b1a8af036500b5efd00c3b8bcb5cea
BLAKE2b-256 checksum
How to use checksums
3f613cea1aae9ed607203e5f3f85d206e755f2c195f77e36107d0dcfa91587ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.13

Release files / pyovercast-1.0.13-py3-none-any.whl

Download URL pyovercast-1.0.13-py3-none-any.whl
Size 13.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a5402d4685be65b411922cc36a0ae5b2f73b74230f1eb8a91dbdf77ffb99b688
BLAKE2b-256 checksum
How to use checksums
67551f51f2ebfea18476fd674adc7c7b23dbb1cdc8d3380e3b7f83cd59622cff
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

This release

1.0.13 This release

2 release files

1.0.12

2 release files

1.0.11

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