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NetMe
The huge amount of biological literature, which daily increases, represents a strategic resource to automatically extract and gain knowledge concerning relations among... -
CORAL: expert-Curated medical Oncology Reports to Advance Language model infe...
Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented... -
GLM for BRCA
The dataset comprises labeled genetic variations of the BRCA1 and BRCA2 genes obtained from the ClinVar database. After refining annotations based on quality and completeness... -
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... -
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... -
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... -
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 Protein-Ligand Interaction Graphs for Affinity Studies
The dataset contains a clean version of the data retrieved from PDBBind in the work of Volkov et al. (2022) that can be used for machine learning-based studies for compound... -
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
The resource: 'Gene_Disease_Association_Da ...' is not accessible as guest user. You must login to access it!
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RAR
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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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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
The resource: 'compound_activity_dopamine_d2' is not accessible as guest user. You must login to access it!
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ZIP
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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
The resource: 'DNA 12-mers' is not accessible as guest user. You must login to access it!
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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... -
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....