update

README.md

@@ -1,37 +1,56 @@
 ![Workflow](flowchart.png)
 
 ## Basic Description
-This repo contains an implementation of straSplit comprising of 9 algorithms to split multi-label data into two sets: training and test.
+
+This repo contains an implementation of straSplit comprising 8 algorithms to split multi-label data into two sets: training and test.
 
 ## Dependencies
+
 The codebase is tested to work under Python 3.8. To install the necessary requirements, run the following commands:
 
 ``pip install -r requirements.txt``
 
-Basically, *leADS* requires following packages:
+Basically, *straSplit* requires following packages:
+
 - [Anaconda](https://www.anaconda.com)
 - [NumPy](http://www.numpy.org) (>= 1.18)
 - [scikit-learn](https://scikit-learn.org/stable) (>= 0.24)
 - [pandas](http://pandas.pydata.org) (>= 1.2)
 - [NetworkX](https://networkx.github.io/) (== 2.5)
 - [scipy](https://www.scipy.org/index.html) (>=1.6)
-- [scikit-multilearn](http://scikit.ml) (==0.2.0)
+- [altair](https://altair-viz.github.io/) (==4.1)
 
 ## Installation and Basic Usage
+
 Run the following commands to clone the repository to an appropriate location:
 
-``git clone https://github.com/hallamlab/straSplit.git``
+``git clone https://github.com/arbasher/straSplit``
 
-For all experiments, please navigate to ``doc`` folder for tutorials.
+Please navigate to ``doc`` folder for tutorials.
 
 ## Citing
-If you find *straSplit* useful in your research, please consider citing the following paper:
-- M. A. Basher, Abdur Rahman, McLaughlin, Ryan J., and Hallam, Steven J.. **["Metabolic pathway inference using multi-label classification with rich pathway features."](https://doi.org/10.1371/journal.pcbi.1008174)**, PLoS Comput Biol (2020).
-- M. A. Basher, Abdur Rahman and Hallam, Steven J.. **["Multi-label pathway prediction based on active dataset subsampling."](https://www.biorxiv.org/content/10.1101/2020.09.14.297424v1)**, bioRxiv (2020).
-- M. A. Basher, Abdur Rahman. **["Machine learning methods for metabolic pathway inference from genomic sequence information."](https://open.library.ubc.ca/cIRcle/collections/ubctheses/24/items/1.0394748)**, Doctoral dissertation, University of British Columbia, (2020).
-- Moyano, J.M., Gibaja, E.L. and Ventura, S.. **["MLDA: A tool for analyzing multi-label datasets."](https://www.sciencedirect.com/science/article/abs/pii/S0950705117300308)**, Knowledge-Based Systems (2017).
-- Merrillees, M. and Du, L.. **["Stratified sampling for extreme multi-label data."](https://arxiv.org/abs/2103.03494)**,  arXiv preprint (2021).
-- Sechidis, K., Tsoumakas, G. and Vlahavas, I.. **["On the stratification of multi-label data."](https://link.springer.com/chapter/10.1007/978-3-642-23808-6_10)**, In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 145-158). Springer, Berlin, Heidelberg (2011).
+
+If you find *straSplit* useful in your research, please consider citing the following papers:
+
+- M. A. Basher, Abdur Rahman, McLaughlin, Ryan J., and Hallam, Steven
+  J.. **["Metabolic pathway inference using multi-label classification with rich pathway features."](https://doi.org/10.1371/journal.pcbi.1008174)**
+  , PLoS Comput Biol (2020).
+- M. A. Basher, Abdur Rahman and Hallam, Steven
+  J.. **["Multi-label pathway prediction based on active dataset subsampling."](https://www.biorxiv.org/content/10.1101/2020.09.14.297424v1)**
+  , bioRxiv (2020).
+- M. A. Basher, Abdur
+  Rahman. **["Machine learning methods for metabolic pathway inference from genomic sequence information."](https://open.library.ubc.ca/cIRcle/collections/ubctheses/24/items/1.0394748)**
+  , Doctoral dissertation, University of British Columbia, (2020).
+- Moyano, J.M., Gibaja, E.L. and Ventura,
+  S.. **["MLDA: A tool for analyzing multi-label datasets."](https://www.sciencedirect.com/science/article/abs/pii/S0950705117300308)**
+  , Knowledge-Based Systems (2017).
+- Merrillees, M. and Du, L.. **["Stratified sampling for extreme multi-label data."](https://arxiv.org/abs/2103.03494)**
+  , arXiv preprint (2021).
+- Sechidis, K., Tsoumakas, G. and Vlahavas,
+  I.. **["On the stratification of multi-label data."](https://link.springer.com/chapter/10.1007/978-3-642-23808-6_10)**
+  , In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 145-158). Springer,
+  Berlin, Heidelberg (2011).
 
 ## Contact
+
 For any inquiries, please contact: [arbasher@student.ubc.ca](mailto:arbasher@student.ubc.ca)

requirements.txt

@@ -4,5 +4,4 @@ scipy
 networkx
 altair
 textwrap
-pandas
-scikit-multilearn
+pandas