Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge …
Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …
used for predictive and descriptive modelling as well as for discriminative variable selection …
A tutorial review: Metabolomics and partial least squares-discriminant analysis–a marriage of convenience or a shotgun wedding
The predominance of partial least squares-discriminant analysis (PLS-DA) used to analyze
metabolomics datasets (indeed, it is the most well-known tool to perform classification and …
metabolomics datasets (indeed, it is the most well-known tool to perform classification and …
[HTML][HTML] Metformin enhances autophagy and normalizes mitochondrial function to alleviate aging-associated inflammation
Age is a non-modifiable risk factor for the inflammation that underlies age-associated
diseases; thus, anti-inflammaging drugs hold promise for increasing health span. Cytokine …
diseases; thus, anti-inflammaging drugs hold promise for increasing health span. Cytokine …
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification
Background and objective Computer automated diagnosis of various skin lesions through
medical dermoscopy images remains a challenging task. Methods In this work, we propose …
medical dermoscopy images remains a challenging task. Methods In this work, we propose …
[HTML][HTML] Human metabolome variation along the upper intestinal tract
Most processing of the human diet occurs in the small intestine. Metabolites in the small
intestine originate from host secretions, plus the ingested exposome and microbial …
intestine originate from host secretions, plus the ingested exposome and microbial …
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
Background and objective Automatic segmentation of skin lesions in dermoscopy images is
still a challenging task due to the large shape variations and indistinct boundaries of the …
still a challenging task due to the large shape variations and indistinct boundaries of the …
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
A computer-aided diagnosis (CAD) system requires detection, segmentation, and
classification in one framework to assist radiologists efficiently in an accurate diagnosis. In …
classification in one framework to assist radiologists efficiently in an accurate diagnosis. In …
Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
MA Al-Masni, MA Al-Antari, JM Park, G Gi… - Computer methods and …, 2018 - Elsevier
Background and objective Automatic detection and classification of the masses in
mammograms are still a big challenge and play a crucial role to assist radiologists for …
mammograms are still a big challenge and play a crucial role to assist radiologists for …
Analysis of the human adult urinary metabolome variations with age, body mass index, and gender by implementing a comprehensive workflow for univariate and …
EA Thévenot, A Roux, Y Xu, E Ezan… - Journal of proteome …, 2015 - ACS Publications
Urine metabolomics is widely used for biomarker research in the fields of medicine and
toxicology. As a consequence, characterization of the variations of the urine metabolome …
toxicology. As a consequence, characterization of the variations of the urine metabolome …
[HTML][HTML] metaX: a flexible and comprehensive software for processing metabolomics data
B Wen, Z Mei, C Zeng, S Liu - BMC bioinformatics, 2017 - Springer
Background Non-targeted metabolomics based on mass spectrometry enables high-
throughput profiling of the metabolites in a biological sample. The large amount of data …
throughput profiling of the metabolites in a biological sample. The large amount of data …