Results 261 to 270 of about 9,106,328 (402)
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi+5 more
wiley +1 more source
Familial Mediterranean fever with sigmoid colon stricture. [PDF]
Yamamoto Y+9 more
europepmc +1 more source
Abstract Breast cancer is one of the major causes of deaths in women. However, the early diagnosis is important for screening and control the mortality rate. Thus for the diagnosis of breast cancer at the early stage, a computer‐aided diagnosis system is highly required.
Kiran Jabeen+6 more
wiley +1 more source
A machine learning computational approach for the mathematical anthrax disease system in animals. [PDF]
Sabir Z, Simbawa E.
europepmc +1 more source
Abstract Disease identification for fruits and leaves in the field of agriculture is important for estimating production, crop yield, and earnings for farmers. In the specific case of pomegranates, this is challenging because of the wide range of possible diseases and their effects on the plant and the crop.
Mohanmuralidhar Prajwala+5 more
wiley +1 more source
Graph neural link predictor based on cycle structure
Abstract Currently, the link prediction algorithms primarily focus on studying the interaction between nodes based on chain structure and star structure, which predominantly rely on low‐order structural information and do not explore the multivariate interactions between nodes from the perspective of higher‐order structural information present in the ...
Yanlin Yang+4 more
wiley +1 more source