Results 61 to 70 of about 882,200 (283)
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
Coding Theory: the unit-derived methodology
, 2018 The unit-derived method in coding theory is shown to be a unique optimal scheme for constructing and analysing codes. In many cases efficient and practical decoding methods are produced.
Hurley, Donny, Hurley, Ted
core +1 more source
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
Molecular Oncology, EarlyView.The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song +13 more
wiley +1 more source
Molecular Oncology, EarlyView.This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain +3 more
wiley +1 more source
Probabilistic decoding algorithm for quantum stabilizer codes
Tongxin xuebao, 2011 To improve the performance of quantum decoding algorithm,a quantum probabilistic decoding algorithm（QPDA） based on the check matrix for quantum stabilizer codes was proposed.To achieve low error rates the error op-erator with the minimum quantum weight ...
XIAO Fang-ying, CHEN Han-wu
doaj +2 more sources
Mathematical Programming Decoding of Binary Linear Codes: Theory and Algorithms
, 2014 Mathematical programming is a branch of applied mathematics and has recently been used to derive new decoding approaches, challenging established but often heuristic algorithms based on iterative message passing.
Helmling, Michael +2 more
core +1 more source
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models
Engineering, 2019 Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects of visual perception neuroscience. Although previous researchers have made significant advances in brain encoding and decoding models, existing methods
Changde Du +3 more
doaj
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Molecular Oncology, EarlyView.Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson +11 more
wiley +1 more source
Neural Decoding with Optimization of Node Activations [PDF]
arXiv, 2022 The problem of maximum likelihood decoding with a neural decoder for error-correcting code is considered. It is shown that the neural decoder can be improved with two novel loss terms on the node's activations. The first loss term imposes a sparse constraint on the node's activations.
arxiv
On Multiple Decoding Attempts for Reed-Solomon Codes: A Rate-Distortion Approach
, 2010 One popular approach to soft-decision decoding of Reed-Solomon (RS) codes is based on using multiple trials of a simple RS decoding algorithm in combination with erasing or flipping a set of symbols or bits in each trial.
Narayanan, Krishna R. +2 more
core +1 more source