Update README.md

README.md

@@ -1,36 +1,36 @@
-<img src="logo/SoBioS.png" width="40%">
+## Sobol' Indices for Biological Systems
 
 **SoBioS: Sobol' Indices for Biological Systems** is an easy-to-use Matlab code designed for Sobol' indices-based global sensitivity analysis of biological systems. Developed with an educational approach, **SoBioS** is intuitive and user-friendly, making it an excellent tool for researchers and students in the field of systems biology.
 
-## Table of Contents
+### Table of Contents
 - [Overview](#overview)
 - [Features](#features)
-- [UQLab Dependency](#uqlab-dependency)
+- [UQLab dependency](#uqlab-dependency)
 - [Usage](#usage)
 - [Documentation](#documentation)
 - [Authors](#authors)
 - [Citing SoBioS](#citing-sobios)
 - [License](#license)
-- [Institutional Support](#institutional-support)
+- [Institutional support](#institutional-support)
 - [Funding](#funding)
 
-## Overview
+### Overview
 **SoBioS** was developed as a pedagogical tool to teach the basics of global sensitivity analysis of biological systems via Sobol' indices. A tutorial explaining the theory and practical aspects behind the **SoBioS** package is provided in the following book chapter:
-- **M. Tosin, A.M.A. Côrtes, A. Cunha Jr**, *A Tutorial on Sobol’ Global Sensitivity Analysis Applied to Biological Models*, in Networks in Systems Biology: Applications for Disease Modeling, Computational Biology, vol. 32, Springer, Cham, 2020. [DOI](https://doi.org/10.1007/978-3-030-51862-2_6)
+- **M. Tosin, A.M.A. Côrtes, A. Cunha Jr**, *A Tutorial on Sobol’ Global Sensitivity Analysis Applied to Biological Models*, in Networks in Systems Biology: Applications for Disease Modeling, Computational Biology, vol. 32, Springer, Cham, 2020. <a href="https://doi.org/10.1007/978-3-030-51862-2_6" target="_blank">DOI</a>. 
 
-## Features
+### Features
 - Global sensitivity analysis using Sobol' indices
 - Easy-to-run Matlab implementation
 - Educational style code for easy understanding
 - Includes example cases and detailed comments
 
-## UQLab dependency
+### UQLab dependency
 In order to use the **SoBioS** code, it is necessary to have UQLab package installed:
-https://www.uqlab.com
+<a href="https://www.uqlab.com" target="_blank">https://www.uqlab.com</a>. 
 
 This external package is free for academic use.
 
-## Usage
+### Usage
 This package includes the following modules:
 - SoBioS_CaseName.m - main file for the simulation (use servaral resourses from UQLab package);
 - QoI_CaseName.m - function to compute the Quantity of Interest (QoI).
@@ -48,15 +48,15 @@ To get started with **SoBioS**, follow these steps:
    ```bash
    SoBioS_CaseName
    ```
-## Documentation
+### Documentation
 The routines in SoBioS are well-commented to explain their functionality. Each routine includes a description of its purpose, as well as inputs and outputs. Detailed documentation can be found within the code comments and the provided tutorial.
 
-## Authors
+### Authors
 - Michel Tosin
 - Adriano Côrtes
 - Americo Cunha
 
-## Citing SoBioS
+### Citing SoBioS
 If you use **SoBioS** in your research, please cite the following publication:
 - *Tosin M., Côrtes A.M.A., Cunha A. (2020) A Tutorial on Sobol’ Global Sensitivity Analysis Applied to Biological Models. In: da Silva F.A.B., Carels N., Trindade dos Santos M., Lopes F.J.P. (eds) Networks in Systems Biology: Applications for Disease Modeling. Computational Biology, vol 32. Springer, Cham https://doi.org/10.1007/978-3-030-51862-2_6*
 
@@ -74,16 +74,16 @@ If you use **SoBioS** in your research, please cite the following publication:
 }
 ```
 
-## License
+### License
 
 **SoBioS** is released under the MIT license. See the LICENSE file for details. All new contributions must be made under the MIT license.
 
 <img src="logo/mit_license_red.png" width="10%"> 
 
-## Institutional support
+### Institutional support
 
 <img src="logo/logo_uerj_color.jpeg" width="10%"> &nbsp; &nbsp; <img src="logo/logo_ufrj.png" width="8%">
 
-## Funding
+### Funding
 
 <img src="logo/faperj.jpg" width="20%"> &nbsp; &nbsp; <img src="logo/cnpq.png" width="20%"> &nbsp; &nbsp; <img src="logo/capes.png" width="10%">