Results 41 to 50 of about 155,579 (310)

Advances and perspectives for receiver function imaging of the Earth's internal discontinuities and velocity structures

open access: yes地球与行星物理论评, 2022
Studying the structures, properties and origins of the Earth's internal discontinuities is an important part in the efforts to understand the physical and chemical properties of the layered Earth, as well as to explore the dynamic processes and driving ...
Ling Chen   +4 more
doaj   +1 more source

Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

open access: yesGenome Medicine, 2017
We introduce quanTIseq, a method to quantify the fractions of ten immune cell types from bulk RNA-sequencing data. quanTIseq was extensively validated in blood and tumor samples using simulated, flow cytometry, and immunohistochemistry data.
F. Finotello   +22 more
semanticscholar   +1 more source

A Practical Approach to FMCW Radar Deconvolution in the Sea Ice Domain

open access: yesIEEE Access
This paper presents a practical step-by-step approach to Frequency Modulated Continuous Wave (FMCW) radar nonlinearity correction (deconvolution), utilizing surface-based Ku- and Ka-band radar data collected over nilas ice within a newly-opened sea ice ...
Thomas Newman   +10 more
doaj   +1 more source

Method of multilayer object sectioning based on a light scattering model

open access: yesКомпьютерная оптика, 2023
We discuss a problem of reconstructing (sectioning) multilayer object images in observed images obtained by focusing the imaging system on each layer and containing spurious blurry images of neighboring layers.
S.D. Bazhitov   +3 more
doaj   +1 more source

Comprehensive evaluation of deconvolution methods for human brain gene expression

open access: yesNature Communications, 2022
Transcriptome deconvolution aims to estimate the cellular composition of an RNA sample from its gene expression data, which in turn can be used to correct for composition differences across samples.
G. J. Sutton   +7 more
semanticscholar   +1 more source

Ground Target Detection and Damage Assessment by Patrol Missiles Based on YOLO-VGGNet

open access: yesApplied Sciences, 2022
Patrol missiles are a common type of unmanned aerial vehicle, which can be efficiently used for reconnaissance and sensing. In this work, target detection and the damage assessment of typical mobile ground targets by patrol missiles are studied, and a ...
Yibo Xu   +5 more
doaj   +1 more source

Bulk tissue cell type deconvolution with multi-subject single-cell expression reference

open access: yesNature Communications, 2018
Knowledge of cell type composition in disease relevant tissues is an important step towards the identification of cellular targets of disease. We present MuSiC, a method that utilizes cell-type specific gene expression from single-cell RNA sequencing ...
Xuran Wang   +4 more
semanticscholar   +1 more source

Deconvolution of 1D NMR spectra: A deep learning-based approach.

open access: yesJournal of magnetic resonance (San Diego, Calif. 1997 : Print), 2022
The analysis of nuclear magnetic resonance (NMR) spectra to detect peaks and characterize their parameters, often referred to as deconvolution, is a crucial step in the quantification, elucidation, and verification of the structure of molecular systems ...
N. Schmid   +13 more
semanticscholar   +1 more source

Predictors of disease aggressiveness influence outcome from immunotherapy treatment in renal clear cell carcinoma

open access: yesOncoImmunology, 2019
Renal clear cell carcinoma (RCC) is the most common type of kidney cancer and has a high propensity for metastasis. While treatment with immune checkpoint inhibitors, such as anti-PD-1, have shown modest improvements in survival for RCC, it is difficult ...
Yasmin Kamal   +3 more
doaj   +1 more source

Improved Edge Refinement Filter with Entropy Feedback Measurement for Retrieving Region of Interest and Blind Image Deconvolution

open access: yesAdvances in Electrical and Computer Engineering, 2020
This study proposes an improved edge refinement filter with entropy feedback measurement for locating an optimal region of interest (ROI) in blurry images.
MOHD SHAPRI, A. H., ABDULLAH, M. Z.
doaj   +1 more source

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