Results 131 to 140 of about 30,987,372 (386)
Support Interval for Two-Sample Summary Data-Based Mendelian Randomization [PDF]
Kai Wang
openalex +1 more source
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Analysis of Interval Censored Data Using Random Imputation Technique [PDF]
Background and Aim: Interval censored data occur in repeated data in medical studies. There are common methods to analysis this type of data. The purpose of this study is to examine the random imputation technique in the analysis of interval censored ...
Danial Habibi, Mohammad Rafiei
doaj
A novel method to extend SAW for decision-making problems with interval data
Article history: Received January 15, 2013 Accepted October 12, 2013 Available online November 4 2013 Decision making problem is the process of finding the best option out of all feasible alternatives. There are some methods for solving Multiple Criteria
A. Salehi, M. Izadikhah
semanticscholar +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Midpoint-width lexicographic equilibria: Existence results for interval-valued equilibrium problems
This paper presents a new solution concept for interval-valued equilibrium problems using an appropriate interval ordering that considers both the central value and the uncertainty inherent in the data.
Somaye Jafari
doaj +1 more source
A least squares approach to Principal Component Analysis for interval valued data [PDF]
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
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

