Results 101 to 110 of about 1,500,611 (328)

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

mixtools: An R Package for Analyzing Mixture Models

Journal of Statistical Software, 2009
The mixtools package for R provides a set of functions for analyzing a variety of finite mixture models. These functions include both traditional methods, such as EM algorithms for univariate and multivariate normal mixtures, and newer methods that ...
Tatiana Benaglia, Didier Chauveau, David R. Hunter, Derek S. Young   +3 more
doaj  

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Glass Classification and Identification Based on K-Means Clustering Model

, 2023
Yiting Lv, Hengyuan Tan, Feier Meng, Guanghu Shao, Sizhe Yang   +4 more
openalex   +2 more sources

Short Video Clustering Model based on Deep Multimodal Fusion [PDF]

, 2023
Calderon Kingsley, Ambrose Prescott, Jessamine Sinclair   +2 more
openalex   +1 more source

Parsimonious Bayesian model-based clustering with dissimilarities

Machine Learning with Applications
Clustering techniques are used to group observations and discover interesting patterns within data. Model-based clustering is one such method that is often an attractive choice due to the specification of a generative model for the given data and the ...
Samuel Morrissette, Saman Muthukumarana, Maxime Turgeon   +2 more
doaj   +1 more source

Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering. [PDF]

J Mach Learn Res, 2023
Chandra NK, Canale A, Dunson DB.
europepmc   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Composite likelihood methods for parsimonious model-based clustering of mixed-type data [PDF]

, 2023
Monia Ranalli, Roberto Rocci
openalex   +1 more source

Automatic summarization model based on clustering algorithm

Scientific Reports
Extractive document summary is usually seen as a sequence labeling task, which the summary is formulated by sentences from the original document. However, the selected sentences usually are high redundancy in semantic space, so that the composed summary ...
Wenzhuo Dai, Qing He
doaj   +1 more source