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 # Welcome to QC-Selector's Documentation!
 
-[selector](https://github.com/theochem/Selector) is a free, open-source, and cross-platform Python library designed to help you effortlessly identify the most diverse subset of molecules from your dataset. Please use the following citation in any publication using selector library:
+[Selector](https://github.com/theochem/Selector) is a free, open-source, and cross-platform Python library designed to help you effortlessly identify the most diverse subset of molecules from your dataset. Please use the following citation in any publication using Selector library:
 
-**"QC-Selector: A Generic Python Package for Subset Selection"**, Fanwang Meng, Alireza Tehrani, Valerii Chuiko, Abigail Broscius, Abdul, Hassan, Maximilian van Zyl, Marco Martínez González, Yang, Ramón Alain Miranda-Quintana, Paul W. Ayers, and Farnaz Heidar-Zadeh"
+**"TO be added"**
 
-The selector source code is hosted on [GitHub](https://github.com/theochem/Selector) and is released under the [GNU General Public License v3.0](https://github.com/theochem/Selector/blob/main/LICENSE). We welcome any contributions to the selector library in accordance with our Code of Conduct; please see our [Contributing Guidelines](https://qcdevs.org/guidelines/QCDevsCodeOfConduct/). Please report any issues you encounter while using selector library on [GitHub Issues](https://github.com/theochem/Selector/issues). For further information and inquiries please contact us at [email protected].
+The Selector source code is hosted on [GitHub](https://github.com/theochem/Selector) and is released under the [GNU General Public License v3.0](https://github.com/theochem/Selector/blob/main/LICENSE). We welcome any contributions to the Selector library in accordance with our Code of Conduct; please see our [Contributing Guidelines](https://qcdevs.org/guidelines/QCDevsCodeOfConduct/). Please report any issues you encounter while using Selector library on [GitHub Issues](https://github.com/theochem/Selector/issues). For further information and inquiries please contact us at [email protected].
 
 
 ## Why QC-Selector?
 
-In the world of chemistry, selecting the right subset of molecules is critical for a wide range of applications, including drug discovery, materials science, and molecular optimization. QC-Selector offers a cutting-edge solution to streamline this process, empowering researchers, scientists, and developers to make smarter decisions faster.
+Selecting diverse and representative subsets is crucial for the data-driven models and machine
+learning applications in many science and engineering disciplines, especially for molecular design
+and drug discovery. Motivated by this, we develop the Selector package, a free and open-source Python library for selecting diverse subsets.
+
+The Selector library implements a range of existing algorithms for subset sampling based on the
+distance between and similarity of samples, as well as tools based on spatial partitioning. In
+addition, it includes seven diversity measures for quantifying the diversity of a given set. We also
+implemented various mathematical formulations to convert similarities into dissimilarities.
 
-## Key Features
-1. Import Your Dataset: Simply import your molecule dataset in various file formats, including SDF, SMILES, and InChi, to get started.
-2. Define Selection Criteria: Specify the desired level of diversity and other relevant parameters to tailor the subset selection to your unique requirements.
-3. Run the Analysis: Let QC-Selector's powerful algorithms process your dataset and efficiently select the most diverse molecules.
-4. Export: Explore the diverse subset and export the results for further analysis and integration into your projects.
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