Results 61 to 70 of about 516,084 (257)

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images

open access: yesIEEE Access
Globally, breast cancer is the second most lethal form of cancer among women, and has high rates of incidence and mortality. Early detection is crucial in improving survival rates.
Lekha S. Nair   +2 more
doaj   +1 more source

Multipliers of Banach valued weighted function spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2000
We generalize Banach valued spaces to Banach valued weighted function spaces and study the multipliers space of these spaces. We also show the relationship between multipliers and tensor product of Banach valued weighted function spaces.
Serap Öztop
doaj   +1 more source

Three‐dimensional shape reconstruction of objects from a single depth view using deep U‐Net convolutional neural network with bottle‐neck skip connections

open access: yesIET Computer Vision, 2021
Three‐dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruction algorithms. An alternative approach is to infer the 3D shape of an object from a single depth image (i.e. single depth view).
Edwin Valarezo Añazco   +2 more
doaj   +1 more source

Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs

open access: yes, 2017
Convolution is a fundamental operation in many applications, such as computer vision, natural language processing, image processing, etc. Recent successes of convolutional neural networks in various deep learning applications put even higher demand on ...
Chen, Danny Z.   +3 more
core   +1 more source

Long‐term culture of skin biopsies: maintenance of fibroblast production and competency of reprogramming

open access: yesFEBS Open Bio, EarlyView.
Skin biopsies taken from a patient with an ultra‐rare disorder as well as controls were cultured for up to 473 days. The chunks of skin were serially transferred to a new culture plate when confluent with fibroblasts. Different generations of fibroblasts were analyzed for cell and molecular properties, proliferation, and competence for reprogramming to
Sudiksha Rathan‐Kumar   +3 more
wiley   +1 more source

Optical Design of a Smart-Pixel-Based Optical Convolutional Neural Network

open access: yesOptics
We designed lens systems for a smart-pixel-based optical convolutional neural network (SPOCNN) using optical software to analyze image spread and estimate alignment tolerance for various kernel sizes.
Young-Gu Ju
doaj   +1 more source

Generalized transforms and convolutions

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1997
In this paper, using the concept of a generalized Feynman integral, we define a generalized Fourier-Feynman transform and a generalized convolution product.
Timothy Huffman   +2 more
doaj   +1 more source

SmallTalk: a novel small‐sized fusion tag for peptide expression and purification

open access: yesFEBS Open Bio, EarlyView.
The SmallTalk fusion tag allows for the efficient expression and purification of soluble recombinant proteins or peptides in Escherichia coli. Testing with SmallTalk‐GFP confirmed that the proteins were soluble and folded correctly, while SmallTalk‐Bin1b maintained its antimicrobial activity against various bacterial isolates. This streamlined workflow
Atika Tariq   +3 more
wiley   +1 more source

Regularization by free additive convolution, square and rectangular cases [PDF]

open access: yes, 2007
The free convolution is the binary operation on the set of probability measures on the real line which allows to deduce, from the individual spectral distributions, the spectral distribution of a sum of independent unitarily invariant square random ...
Belinschi, Serban   +2 more
core   +5 more sources

Home - About - Disclaimer - Privacy