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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... -
DELTA: Dense Electromyography for Long-Term Adaptive control
The DELTA dataset, namely ”Dense Electromyography for Long-Term Adaptive control”, holds significance in the realm of prosthetic applications, featuring High Density surface... -
Integrating Direct Intracranial Stimulation with the Human Connectome
Cortical and subcortical direct electrical stimulation (DES) coordinates in MNI space, anonymized patients’ demographic data, and aggregated functional maps for the 12... -
NetMe
The huge amount of biological literature, which daily increases, represents a strategic resource to automatically extract and gain knowledge concerning relations among... -
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... -
Gene Disease Association Data and Features
This dataset contains data that can be used for disease gene discovery purposes. The data cover ten different diseases with associated seed genes (derived from DisGeNET) and...-
RAR
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RAR
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DNA 12-mers
A 179 MB dataset containing all the ~14M unique 12-mers in the DNA sequences available in the Pizza&Chili Corpus (https://pizzachili.dcc.uchile.cl/texts.html). This dataset...-
ZIP
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ZIP
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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... -
Compounds with Activity against the Dopamine D2 Receptor
Database containing compounds active against the dopamine D2 receptor together with random inactive compounds as negative samples for learning purposes. Train, validation, and...-
ZIP
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ZIP
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DNA 31-mers
A 12 GB dataset containing all the ~367M unique 31-mers in the DNA sequences available in the Pizza&Chili Corpus (https://pizzachili.dcc.uchile.cl/texts.html). This dataset...-
ZIP
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ZIP
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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... -
Scientific Publications Dataset
This is the sciMAG2015 dataset, i.e., the open dataset linking Microsoft Academic Graph and sciMAGO's journal classification for bibliometrics studies. It includes publication...-
Data
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Data
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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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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... -
BioTAGME: A comprehensive platform for biological knowledge network analysis
This Network was built through BioTAGME, a system that combines TAGME, an entity-annotation framework based on Wikipedia corpus with a network-based inference methodology (i.e.,...