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Private bone age assessment
The goal this DL model is to predict the age of a subject by looking at his/her X-ray image of the hand. This DL algorithm was developed to address a challenge posed on thee... -
Single-image super-resolution microscopy
A deep learning pre-trained model based on the Enhanced Super Resolution Generative Adversarial Network (ESRGAN) is used to obtain a Super-Resolution (SR) image from a...-
ZIP
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ZIP
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AGC: Autism Graph Classifier
AGC is designed to support the processing and analysis of brain connectivity data by leveraging standard outputs from widely used neuroimaging pipelines such as CPAC and...-
ZIP
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ZIP
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Private jointfusion_hackathon
A joint fusion DL model was developed to predict ASD from structural and functional connectome brain features extracted form the ABIDE MRI and fMRI datasets. The DL algorithm... -
Private Expression profiling by high throughput sequencing
The dataset contains transcriptomic data of pancreatic islet preparations obtained from 10 type 2 diabetic subjects. The transcriptomic profile of each preparation was... -
Private VitaGraph
VitaGraph is a comprehensive biomedical network integrating diverse entity types such as drugs, genes, diseases, biological processes, and side effects. It serves as a... -
NetMe
The huge amount of biological literature, which daily increases, represents a strategic resource to automatically extract and gain knowledge concerning relations among... -
Private Human Activity Recognition Dataset
Smartwatches and other mobile smart gadgets are used in this effort to collect data. The effectiveness of our suggested solution is determined by fusing the two separate... -
Stroke and sepsi
The considered stroke dataset (DOI:10.17632/x8ygrw87jw.1, DOI:10.1016/j.artmed.2019.101723) was pre-processed by removing attributes with more than 30% missing values, by... -
Human and mouse gene regulatory networks
The dataset was built by considering gene expression data related to 6 different organs (liver, lung, brain, skin, bone marrow, heart), obtained by control samples available... -
Private Identified CNVs from whole exome sequencing data of BRCA1/2 negative breast c...
This dataset offers a comprehensive analysis of Copy Number Variations (CNVs) identified in Whole Exome Sequencing (WES) data from patients with breast cancer who tested... -
Thyroid-cancer patients
The data used originate from the web-based database of the Italian Thyroid Cancer Observatory (ITCO), opened in 2013 at the Thyroid Cancer Center of the Sapienza University of... -
A public data set of spatio-temporal match events in soccer competitions
Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for every...-
JSON
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text/x-python
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JSON
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CSV
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CSV
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Yeast
The yeast dataset is a collection of yeast microarray expressions and phylogenetic profiles which can be used to learn the yeast gene functional categories. One row of this...-
arff
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arff
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A New Topological Approach for the Prediction of Protein-Protein Interactions
We propose, Maximum-Proteins-Similarity(Topological)": MPS(T). MPS(T) is a topological three-length path method that scores the potential interaction between proteins by... -
A comparison of approaches for type-2 diabetes treatment
This experiment compares the performance of some GNN-based approaches for predicting the therapy recommended to type-2 diabetes patients -
Prognostic stratification of patients with differentiated thyroid cancer
Proper risk stratification of patients with differentiated thyroid cancer (DTC) is essential to avoid both unnecessary diagnostic procedures in low-risk patients and clinical... -
Wyscout soccer-logs dataset
A dataset of soccer-logs for all the main soccer leagues in the world, from season 2014/2015 to the current one. -
A hybrid approach for PPI
We propose a new framework that can exploit topological and biological information to predict protein-protein interactions. The algorithm relies on the underlying hypothesis...
