Results 81 to 90 of about 2,725,619 (370)

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

open access: yesMolecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece   +18 more
wiley   +1 more source

Hybrid optimization technique for matrix chain multiplication using Strassen’s algorithm [version 1; peer review: 2 approved, 1 approved with reservations]

open access: yesF1000Research
Background Matrix Chain Multiplication (MCM) is a fundamental problem in computational mathematics and computer science, often encountered in scientific computing, graphics, and machine learning.
Srinivasarao Thota   +2 more
doaj   +1 more source

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines

open access: yesMolecular Oncology, EarlyView.
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad   +12 more
wiley   +1 more source

Real block-circulant matrices and DCT-DST algorithm for transformer neural network

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
In the encoding and decoding process of transformer neural networks, a weight matrix-vector multiplication occurs in each multihead attention and feed forward sublayer.
Euis Asriani   +4 more
doaj   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

open access: yesMolecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken   +3 more
wiley   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Fast Matrix Multiplication with Big Sparse Data

open access: yesCybernetics and Information Technologies, 2017
Big Data becameabuzz word nowadays due to the evolution of huge volumes of data beyond peta bytes. This article focuses on matrix multiplication with big sparse data.
Somasekhar G., Karthikeyan K.
doaj   +1 more source

A matrix solution to pentagon equation with anticommuting variables

open access: yes, 2009
We construct a solution to pentagon equation with anticommuting variables living on two-dimensional faces of tetrahedra. In this solution, matrix coordinates are ascribed to tetrahedron vertices.
E. Moise   +11 more
core   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

open access: yesMolecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix   +13 more
wiley   +1 more source

GPU computing performance analysis on matrix multiplication

open access: yesThe Journal of Engineering, 2019
The machine learning has been widely used in intelligent data mining. The high-computational complexity of machine learning and huge data volume present challenges to computing platforms.
Zhibin Huang   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy