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Review of feature selection approaches based on grou** of features
With the rapid development in technology, large amounts of high-dimensional data have
been generated. This high dimensionality including redundancy and irrelevancy poses a …
been generated. This high dimensionality including redundancy and irrelevancy poses a …
miRNAs in heart development and disease
E Lozano-Velasco, JM Inácio, I Sousa… - International Journal of …, 2024 - mdpi.com
Cardiovascular diseases (CVD) are a group of disorders that affect the heart and blood
vessels. They include conditions such as myocardial infarction, coronary artery disease …
vessels. They include conditions such as myocardial infarction, coronary artery disease …
GediNET for discovering gene associations across diseases using knowledge based machine learning approach
The most common approaches to discovering genes associated with specific diseases are
based on machine learning and use a variety of feature selection techniques to identify …
based on machine learning and use a variety of feature selection techniques to identify …
Mitigating off‐target effects of small RNAs: conventional approaches, network theory and artificial intelligence
Three types of highly promising small RNA therapeutics, namely, small interfering RNAs
(siRNAs), microRNAs (miRNAs) and the RNA subtype of antisense oligonucleotides (ASOs) …
(siRNAs), microRNAs (miRNAs) and the RNA subtype of antisense oligonucleotides (ASOs) …
TextNetTopics: text classification based word grou** as topics and topics' scoring
M Yousef, D Voskergian - Frontiers in Genetics, 2022 - frontiersin.org
Medical document classification is one of the active research problems and the most
challenging within the text classification domain. Medical datasets often contain massive …
challenging within the text classification domain. Medical datasets often contain massive …
miRdisNET: discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
During recent years, biological experiments and increasing evidence have shown that
microRNAs play an important role in the diagnosis and treatment of human complex …
microRNAs play an important role in the diagnosis and treatment of human complex …
[HTML][HTML] Prediction of linear cationic antimicrobial peptides active against gram-negative and gram-positive bacteria based on machine learning models
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional
antibiotics in order to overcome the growing problems of antibiotic resistance …
antibiotics in order to overcome the growing problems of antibiotic resistance …
Invention of 3Mint for feature grou** and scoring in multi-omics
Advanced genomic and molecular profiling technologies accelerated the enlightenment of
the regulatory mechanisms behind cancer development and progression, and the targeted …
the regulatory mechanisms behind cancer development and progression, and the targeted …
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information
With the exponential growth in the daily publication of scientific articles, automatic
classification and categorization can assist in assigning articles to a predefined category …
classification and categorization can assist in assigning articles to a predefined category …
microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grou**, scoring and modeling (GSM) approach
Numerous biological environments have been characterized with the advent of
metagenomic sequencing using next generation sequencing which lays out the relative …
metagenomic sequencing using next generation sequencing which lays out the relative …