Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication
Abstract Prognostic markers such as overall survival (OS) and tertiary lymphoid structure (TLS) ratios, alongside diagnostic signatures like primary cancer-type…
Abstract Prognostic markers such as overall survival (OS) and tertiary lymphoid structure (TLS) ratios, alongside diagnostic signatures like primary cancer-type…
Abstract By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley…
Abstract Polyploidy, characterized by an increase in the number of whole sets of chromosomes in an organism, offers a promising…
Abstract Background: Current biliary dilatation (BD) classifications are complex and based on cases including secondary BD, leading to unclear distinctions.…
Abstract Cannabis is cultivated for therapeutic and recreational purposes where delta-9 tetrahydrocannabinol (THC) is a main target for its therapeutic…
Abstract Background: RNA sequencing combined with machine learning techniques has provided a modern approach to the molecular classification of cancer.…
Abstract Cannabis sativa L. is an industrially valuable plant known for its cannabinoids, such as cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC),…
Abstract Supplementary Information: The online version contains supplementary material available at 10.1186/s12859-023-05529-0. Article type: Research Article Keywords: Cancer, Classification, Cluster…
Abstract Background: We aimed to propose the apical vertebras distribution modifier to supplement the coronal balance (CB) classification for adult…
Abstract The low water solubility of pharmacoactive molecules limits their pharmacological potential, but the solubility parameter cannot compromise, and so…