Results 61 to 70 of about 1,925,380 (293)

MMGAT: a graph attention network framework for ATAC-seq motifs finding

BMC Bioinformatics
Background Motif finding in Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) data is essential to reveal the intricacies of transcription factor binding sites (TFBSs) and their pivotal roles in gene regulation.
Xiaotian Wu, Wenju Hou, Ziqi Zhao, Lan Huang, Nan Sheng, Qixing Yang, Shuangquan Zhang, Yan Wang   +7 more
doaj   +1 more source

Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling

Entropy, 2023
Chaotic time series are widely present in practice, but due to their characteristics—such as internal randomness, nonlinearity, and long-term unpredictability—it is difficult to achieve high-precision intermediate or long-term predictions.
Mu Qiao, Yanchun Liang, Adriano Tavares, Xiaohu Shi   +3 more
doaj   +1 more source

n-Valued Refined Neutrosophic Logic and Its Applications to Physics [PDF]

, 2013
In this paper we present a short history of logics: from particular cases of 2-symbol or numerical valued logic to the general case of n-symbol or numerical valued logic.
Smarandache, Florentin
core   +2 more sources

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

Hierarchical graph neural network with subgraph perturbations for key gene cluster discovery in cancer staging

Complex & Intelligent Systems, 2023
Analyzing highly individual-specific genomic data to understand genetic interactions in cancer development is still challenging, with significant implications for the discovery of individual biomarkers as well as personalized medicine.
Wenju Hou, Yan Wang, Ziqi Zhao, Yizhi Cong, Wei Pang, Yuan Tian   +5 more
doaj   +1 more source

ACPNet: A Deep Learning Network to Identify Anticancer Peptides by Hybrid Sequence Information

Molecules, 2022
Cancer is one of the most dangerous threats to human health. One of the issues is drug resistance action, which leads to side effects after drug treatment. Numerous therapies have endeavored to relieve the drug resistance action.
Mingwei Sun, Sen Yang, Xuemei Hu, You Zhou   +3 more
doaj   +1 more source

The cooperative regulation of miR‐221 by APE1 and AUF1 impacts p27Kip1 defining a miR signature relevant for cervical cancer

FEBS Open Bio, EarlyView.
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti, Nicolò Gualandi, Gianluca Tell, Giulia Antoniali   +3 more
wiley   +1 more source

Prior-guided attention fusion transformer for multi-lesion segmentation of diabetic retinopathy

Scientific Reports
To solve the issue of diagnosis accuracy of diabetic retinopathy (DR) and reduce the workload of ophthalmologists, in this paper we propose a prior-guided attention fusion Transformer for multi-lesion segmentation of DR.
Chenfangqian Xu, Xiaoxin Guo, Guangqi Yang, Yihao Cui, Longchen Su, Hongliang Dong, Xiaoying Hu, Songtian Che   +7 more
doaj   +1 more source

Multiple symbol differential detection [PDF]

, 1991
A differential detection technique for multiple phase shift keying (MPSK) signals is provided which uses a multiple symbol observation interval on the basis of which a joint decision is made regarding the phase of the received symbols. In accordance with
Divsalar, Dariush, Simon, Marvin K.
core   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source