adadmire
Functions for detecting anomalies in molecular data sets using Mixed Graphical Models.
Installation
Enter the following commands in a shell like bash, zsh or powershell:
pip install -U adadmire
Usage
The usage example in this section requires that you first download the data files from the data folder. For a description of the contents of this folder, see section Data of the adadmire documentation site.
from adadmire import admire, penalty
import numpy as np
# Load example data
X = np.load('data/Feist_et_al/scaled_data_raw.npy') # continuous data
D = np.load('data/Feist_et_al/pheno.npy') # discrete data
levels = np.load('data/Feist_et_al/levels.npy') # levels of discrete variables
# Define lambda sequence of penalty values
lam = penalty(X, D, min= -2.25, max = -1.5, step =0.25)
# Get anomalies in continuous and discrete data
X_cor, n_cont, position_cont, D_cor, n_disc, position_disc = admire(X, D, levels, lam)
print(X_cor) # corrected X
print(n_cont) # number of continuous anomalies
print(position_cont) # position in X
print(D_cor) # corrected D
print(n_disc) # number of discrete anomalies
print(position_disc) # position in D
You can find more usage examples in the Usage section of adadmire's documentation site.
Documentation
You can find the full documentation for adadmire at spang-lab.github.io/adadmire. Amongst others, it includes chapters about:
Release files for adadmire 1.0.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| adadmire-1.0.15.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adadmire-1.0.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:1.2 MB
Release files / adadmire-1.0.15.tar.gz
| Download URL | adadmire-1.0.15.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
690446573705d13c859c6635a91cd4727d939eeb155aa3a6a12f11c0f31927a7
|
|
BLAKE2b-256 checksum How to use checksums |
19e1a11f030f5f5bec4d41c393a47072f27a62771c62566c419de6fc34f544a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|
Release files / adadmire-1.0.15-py3-none-any.whl
| Download URL | adadmire-1.0.15-py3-none-any.whl |
|---|---|
| Size | 14.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
19db0f80c8a08e2046bb8dea5a2d4d10c62aeb2b6d1b4e9aae661b9c5e8d1616
|
|
BLAKE2b-256 checksum How to use checksums |
7632a3faaf27e47bc5e25c887418b63cceba840389604d986ab68f448fea2212
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|