Skip to content

Commit

Permalink
add citation
Browse files Browse the repository at this point in the history
  • Loading branch information
anbai106 committed Jan 21, 2024
1 parent d7cedb3 commit e7a5ba5
Show file tree
Hide file tree
Showing 2 changed files with 31 additions and 2 deletions.
28 changes: 28 additions & 0 deletions CITATION.cff
Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
cff-version: 0.0.1
message: "If you use this software, please cite it as below."
authors:
- family-names: Wen
given-names: Junhao
orcid: https://orcid.org/0000-0003-2077-3070
title: "MLNI"
version: 0.1.4
identifiers:
- type: doi
value: 10.5281/zenodo.1234
date-released: 2023-09-24

abstract: "This is my MLNI software for research purposes only, including classfications, clustering, and regression..."
authors:
- family-names: Wen
given-names: Junhao
orcid: "https://orcid.org/0000-0003-2077-3070"
cff-version: 1.2.0
version: 0.1.4
date-released: "2023-09-24"
keywords:
- "classification, clustering, regression"
- research
license: MIT
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/anbai106/mlni"
title: "mlni"
5 changes: 3 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -15,9 +15,10 @@
## `MLNI`
MLNI is a python package that performs various tasks using neuroimaging data: i) binary classification for disease diagnosis, following good practice proposed in [AD-ML](https://github.com/aramis-lab/AD-ML); ii) regression prediction, such as age prediction; and iii) semi-supervised clustering with [HYDRA](https://github.com/evarol/HYDRA).

> :warning: **The documentation of this software is currently under development**
## Citing this work
> :warning: Please let me know if you use this package for your publication; I will update your papers in the section of **Publication using MLNI**...
> :warning: Please cite the software using the **Cite this repository** button above, as well as the original papers below for different tasks...
### If you use this software for clustering:
> Varol, E., Sotiras, A., Davatzikos, C., 2017. **HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework**. Neuroimage, 145, pp.346-364. [doi:10.1016/j.neuroimage.2016.02.041](https://www.sciencedirect.com/science/article/abs/pii/S1053811916001506?via%3Dihub) - [Paper in PDF](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408358/pdf/nihms762663.pdf)
Expand Down

0 comments on commit e7a5ba5

Please sign in to comment.