AI Medical Compendium Topic:
Principal Component Analysis

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[Study on UPLC Fingerprint of Corydalis bungeana].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials
OBJECTIVE: To establish an Ultra Performance Liquid Chromatography fingerprint of Corydalis bungeana from different habitats.

Improving artificial neural network model predictions of daily average PM10 concentrations by applying principle component analysis and implementing seasonal models.

Journal of the Air & Waste Management Association (1995)
UNLABELLED: This study introduces a seasonal modeling approach in the prediction of daily average PM10 (particulate matter with an aerodynamic diameter<10 μm) levels 1 day ahead based on multilayer perceptron artificial neural network (MLP-ANN) forec...

A method for volumetric imaging in radiotherapy using single x-ray projection.

Medical physics
PURPOSE: It is an intriguing problem to generate an instantaneous volumetric image based on the corresponding x-ray projection. The purpose of this study is to develop a new method to achieve this goal via a sparse learning approach.

Robust automatic breast cancer staging using a combination of functional genomics and image-omics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Breast cancer is one of the leading cancers worldwide. Precision medicine is a new trend that systematically examines molecular and functional genomic information within each patient's cancer to identify the patterns that may affect treatment decisio...

Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets.

IEEE/ACM transactions on computational biology and bioinformatics
We introduce Supervised Variational Relevance Learning (Suvrel), a variational method to determine metric tensors to define distance based similarity in pattern classification, inspired in relevance learning. The variational method is applied to a co...

QSAR Analysis of Some Antagonists for p38 map kinase Using Combination of Principal Component Analysis and Artificial Intelligence.

Combinatorial chemistry & high throughput screening
Quantitative relationships between structures of a set of p38 map kinase inhibitors and their activities were investigated by principal component regression (PCR) and principal componentartificial neural network (PC-ANN). Latent variables (called com...

A lazy learning-based QSAR classification study for screening potential histone deacetylase 8 (HDAC8) inhibitors.

SAR and QSAR in environmental research
Histone deacetylases 8 (HDAC8) is an enzyme repressing the transcription of various genes including tumour suppressor gene and has already become a target of human cancer treatment. In an effort to facilitate the discovery of HDAC8 inhibitors, two qu...