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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... -
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... -
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... -
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... -
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 -
Gene-specific regularization for COPD partial-correlation estimation
We introduce a gene-specific regularization factor when computing the Partial Correlation score to make the indeterminate regression feasible. We decided to slightly modify... -
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 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... -
EpiCID: A framework for discovering interactions between SNPs
Epistatic interactions (EIs) of gene loci often determine complex trait phenotypes. EIs may indicate the underlying molecular mechanisms of multifactorial traits and diseases.... -
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... -
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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Mobility index for local quarantines in Chile
Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions....-
CSV
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CSV
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CSV
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CSV
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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. -
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xslx
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xslx
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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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Self-Rated Health Among Italian Immigrants Living in Norway: A Cross-Sectiona...
Most of the respondents (69%) rated their Health as “good” or “very good”. This figure was not significantly different with the Norwegian population, nor to the Italians... -
Minimizing Hitting Time between Disparate Groups with Shortcut Edges
Experiments on real-world datasets to evaluate the effectiveness of the algorithms proposed in paper...-
Github
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Github
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A Narrative Review for a Machine Learning Application in Sports: An Example B...
In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly...