Results 121 to 130 of about 4,979,837 (328)

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

open access: yesMolecular Oncology, EarlyView.
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

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

open access: yesMolecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla   +9 more
wiley   +1 more source

A Nonconvex Projection Method for Robust PCA

open access: yes, 2019
Robust principal component analysis (RPCA) is a well-studied problem with the goal of decomposing a matrix into the sum of low-rank and sparse components.
Dutta, Aritra   +2 more
core   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

open access: yesMolecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova   +14 more
wiley   +1 more source

Shadow Detection in Remote Sensing Images Based on Multibranch Feature Aggregation and Channel-Spatial Attention

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High-resolution remote sensing image shadow detection has wide applications in target recognition, land information retrieval, and other fields.
Xueli Chang   +4 more
doaj   +1 more source

Shadow detection and removal from images using machine learning and morphological operations

open access: yesThe Journal of Engineering, 2019
In this study, the authors present a system for shadow detection and removal from images using machine learning technique. A machine learning algorithm ESRT (enhanced streaming random tree) model is proposed.
Vicky Nair   +2 more
doaj   +1 more source

Near real-time flood detection in urban and rural areas using high resolution Synthetic Aperture Radar images [PDF]

open access: yes, 2010
A near real-time flood detection algorithm giving a synoptic overview of the extent of flooding in both urban and rural areas, and capable of working during night-time and day-time even if cloud was present, could be a useful tool for operational flood ...
Bates, Paul   +4 more
core  

Overview of molecular signatures of senescence and associated resources: pros and cons

open access: yesFEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas   +6 more
wiley   +1 more source

Automatic detection and removal of static shadows

open access: yesJournal of Measurement Science and Instrumentation, 2020
In case of complex textures, existing static shadow detection and removal algorithms are prone to false detection of the pixels. To solve this problem, a static shadow detection and removal algorithm based on support vector machine(SVM) and region sub ...
HOU Tao, WU Hai-ping
doaj  

Target Detection Based on Spectral Derivation in HSI Shadow Region Classified by Convolutional Neural Networks

open access: yesCanadian Journal of Remote Sensing, 2019
Because of the low reflection value of the shadow regions in hyperspectral image (HSI), these regions were deleted directly or ignored in target detection or classification.
Xuefeng Liu   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy