Results 61 to 70 of about 1,917,881 (292)
New artificial intelligence scenarios, such as high-precision online industrial detection, unmanned driving, etc., are constantly emerging and have resulted in an increasing demand for real-time image processing with high frame rates and low power ...
Yan Wang +4 more
doaj +1 more source
More and more studies have demonstrated that long noncoding RNAs (lncRNAs) play critical roles in diversity of biological process and are also associated with various types of disease.
Siyu Han, Yanchun Liang, Ying Li, Wei Du
doaj +1 more source
Relating brain structure images to personality characteristics using 3D convolution neural network
The Keras deep learning framework is employed to study MRI brain data in a preliminary analysis of brain structure using a convolutional neural network. The results obtained are matched with the content of personality questionnaires.
Lixian Cao +6 more
doaj +1 more source
De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning
Moonlighting proteins (MPs) are a special type of protein with multiple independent functions. MPs play vital roles in cellular regulation, diseases, and biological pathways. At present, very few MPs have been discovered by biological experiments. Due to
Ying Li +6 more
doaj +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
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
MMGAT: a graph attention network framework for ATAC-seq motifs finding
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 +7 more
doaj +1 more source
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 +5 more
doaj +1 more source
Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling
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 +3 more
doaj +1 more source
n-Valued Refined Neutrosophic Logic and Its Applications to Physics [PDF]
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
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source

