neuroCombat | Harmonization of multi-site imaging data with ComBat

by Jfortin1 Python Version: 0.2.12 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | neuroCombat Summary

neuroCombat is a Python library. neuroCombat has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install neuroCombat' or download it from GitHub, PyPI.

This is the maintained and official version of neuroCombat (previously hosted here) introduced in our our recent paper.

Support

Quality

Security

License

Reuse

Support

neuroCombat has a low active ecosystem.

It has 55 star(s) with 27 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 11 have been closed. On average issues are closed in 98 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of neuroCombat is 0.2.12

Quality

neuroCombat has 0 bugs and 0 code smells.

Security

neuroCombat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

neuroCombat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

neuroCombat is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

neuroCombat releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 344 lines of code, 18 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed neuroCombat and discovered the below as its top functions. This is intended to give you an instant insight into neuroCombat implemented functionality, and help decide if they suit your requirements.

Uses neuroglancer
R Standardize the feature matrix
Make a design matrix
Fit a model using a design matrix
Adjusts the final data based on the design
Calculates the parametric adjustments for each batch
Find non - parametric adjustments for nonparametric adjustments
Calculate the gamma distribution for a given sdata
Calculate the number of iterations
Helper function to find the non - eigenvectors that are non - EB
Postmean function for postmean
Calculates the post variance of a sum2

Get all kandi verified functions for this library.

neuroCombat Key Features

No Key Features are available at this moment for neuroCombat.

neuroCombat Examples and Code Snippets

Multi-site harmonization in Python with neuroCombat,Usage

Python

Lines of Code : 24

License : Permissive (MIT)

Copy

from neuroCombat import neuroCombat
import pandas as pd
import numpy as np

# Getting example data
# 200 rows (features) and 10 columns (scans)
data = np.genfromtxt('testdata/testdata.csv', delimiter=",", skip_header=1)

# Specifying the batch (scann

Multi-site harmonization in Python with neuroCombat,Installation

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

pip install neuroCombat

Multi-site harmonization in Python with neuroCombat,Output

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

data_combat = neuroCombat(dat=dat, ...)["data"]

Community Discussions

No Community Discussions are available at this moment for neuroCombat.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install neuroCombat

neuroCombat is hosted on PyPI, and the easiest way to install neuroCombat is to use the pip command:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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