Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning | Nature Machine Intelligence
Researchers have generated a diverse repository of 838,644 histopathologic images and used them to optimize and discretize learned representations into 512-dimensional feature vectors. They show that individual machine-engineered features correlate with salient human-derived morphologic constructs and ontological relationships.
RNAmod: an integrated system for the annotation of mRNA modifications | Nucleic Acids Research
Dynamic and reversible RNA modifications such as N6-methyladenosine (m6A) can play important roles in regulating messenger RNA (mRNA) splicing, export, stability and translation. Researchers developed RNAmod (https://bioinformatics.sc.cn/RNAmod), an interactive, one-stop, web-based platform for the automated analysis, annotation, and visualization of mRNA modifications in 21 species.
MOLI: multi-omics late integration with deep neural networks for drug response prediction | Bioinformatics
MOLI, a multi-omics late integration method based on deep neural networks, takes somatic mutation, copy number aberration and gene expression data as input, and integrates them for drug response prediction.