LICIC: less important components for imbalanced multiclass classification
Multiclass classification in cancer diagnostics, using DNA or Gene Expression Signatures,
but also classification of bacteria species fingerprints in MALDI-TOF mass spectrometry data …
but also classification of bacteria species fingerprints in MALDI-TOF mass spectrometry data …
Genome-wide identification and transcriptome-based expression analysis of sox gene family in the Japanese flounder Paralichthys olivaceus
H Yu, X Du, X Li, J Qu, H Zhu, Q Zhang… - Journal of Oceanology …, 2018 - Springer
Sox genes are transcription factors that ubiquitously exist in animal species, and share a
conserved high mobility group (HMG) box. They play important biological roles in diverse …
conserved high mobility group (HMG) box. They play important biological roles in diverse …
CamurWeb: a classification software and a large knowledge base for gene expression data of cancer
Background The high growth of Next Generation Sequencing data currently demands new
knowledge extraction methods. In particular, the RNA sequencing gene expression …
knowledge extraction methods. In particular, the RNA sequencing gene expression …
A comparison of Apache Spark supervised machine learning algorithms for DNA splicing site prediction
V Morfino, S Rampone, E Weitschek - Neural approaches to dynamics of …, 2019 - Springer
Thanks to next-generation sequencing techniques, a very big amount of genomic data are
available. Therefore, in the last years, biomedical databases are growing more and more …
available. Therefore, in the last years, biomedical databases are growing more and more …
[PDF][PDF] Environmental Metagenome Classification for Soil-based Forensic Analysis.
Metagenome analysis makes it possible to extract essential information on the organisms
that have left their traces in a given environmental sample. In some cases, it is sufficient to …
that have left their traces in a given environmental sample. In some cases, it is sufficient to …
SP-BRAIN: scalable and reliable implementations of a supervised relevance-based machine learning algorithm
V Morfino, S Rampone, E Weitschek - Soft Computing, 2020 - Springer
In this work, new implementations of the U-BRAIN (Uncertainty-managing Bach Relevance-
Based Artificial Intelligence) supervised machine learning algorithm are described. The …
Based Artificial Intelligence) supervised machine learning algorithm are described. The …