Discover gabrielahrlr/BindingAffinity-Prediction Open Source project

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Rank 3,304,323 (Top 66 %)
Language
R
Created over 8 years ago
Updated about 8 years ago

gabrielahrlr

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Prediction of the Protein-Ligand Binding Affinity using various Machine Learning & Statistics Techniques. The implemented models are based on parametric and nonparametric intelligible approaches and stacking procedures. Fully developed in R.

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Network Analysis of news and articles mainstreamed from principal journals. Developed in Python.

Python

PageRank

This script creates an Airport and Routes Network, to later compute the Page Rank Algorithm and find the most connected airports with their correspondent rank. Developed in Python using Pandas

Python

syntactic_parser

Syntactic parser for reading a literary text in natural language. After reading a text, it returns a list with the sentences it contains. The difficulty comes from the segmentation of the text because not all dots always end a sentence, they can also be used in titles (like Dr.) or acronyms. This Parser is programmed in Prolog.

Prolog

SoftwarePackageOntology

Script to create an ontology describing the main properties of the software packages, in order to allow their properly classification based on their features. In such a way, that instances or individuals can be added and classified automatically to permit the user to retrieve important information for maintenance tasks.

Web Ontology Language

gabrielahrlr/BindingAffinity-Prediction

gabrielahrlr

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