Results 51 to 60 of about 232,548 (306)

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

open access: yesMolecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau   +36 more
wiley   +1 more source

A comparative study of principal component regression and partial least squares regression with application to FTIR diabetes data

open access: yes, 2011
In recent years, Fourier Transform Infrared (FT-IR) spectroscopy has had an increasingly important role in the field of pathology and diagnosis of disease states.
Gunasekaran, S   +2 more
core   +1 more source

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Moving Windows Prediction of Refined, Bleached and Deodorized Palm Oil Quality Using Multiple Least Squares and Partial Least Squares Regressions

open access: yesChemical Engineering Transactions, 2020
With the goal of shaping a smart, economically-sustainable palm oil refining industry, this paper aims to improve the prediction modelling of Refined, Bleached and Deodorized Palm Oil (RBDPO) quality for early quality fault detection and remediation via ...
Wai Hoong Khu   +6 more
doaj   +1 more source

Finite mixture partial least squares analysis: Methodology and numerical examples

open access: yes, 2010
In wide range of applications for empirical data analysis, the assumption that data is collected from a single homogeneous population is often unrealistic.
Will, A, Ringle, C, Wende, S
core   +1 more source

partial least squares [PDF]

open access: yes, 2014
Citation: 'partial least squares' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.PT06975 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

Mining for genotype-phenotype relations in Saccharomyces using partial least squares

open access: yesBMC Bioinformatics, 2011
Background Multivariate approaches are important due to their versatility and applications in many fields as it provides decisive advantages over univariate analysis in many ways.
Sæbø Solve   +4 more
doaj   +1 more source

Tensor partial least squares for hyperspectral image classification

open access: yes, 2022
A hyperspectral image is classically a three-way (or tensor) block of data. In order to extract information from it, it has to be classified using image classifiers.
Christopher E. Ndehedehe   +5 more
core   +1 more source

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