Results 61 to 70 of about 1,958,622 (342)
International Journal of Genomics, 2016 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
De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning
Frontiers in Genetics, 2021 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
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FEBS Open Bio, EarlyView.Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +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.
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Optimal Linear Codes with a Local-Error-Correction Property
, 2012 Motivated by applications to distributed storage, Gopalan \textit{et al} recently introduced the interesting notion of information-symbol locality in a linear code.
Kamath, Govinda M. +3 more
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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 +5 more
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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 +3 more
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FEBS Open Bio, EarlyView.Here, we introduced an intermittent electrical stimulation protocol mimicking the episodic nature of real‐life exercise in vitro by alternating low‐ and high‐frequency stimulation. In comparison with widely used continuous stimulation, it enhanced the rate of glucose and fatty acid oxidation, but not the myokine release.
Klára Gabrišová +11 more
wiley +1 more source
Semiclassical Analysis of the Wigner $9J$-Symbol with Small and Large Angular Momenta
, 2011 We derive a new asymptotic formula for the Wigner $9j$-symbol, in the limit of one small and eight large angular momenta, using a novel gauge-invariant factorization for the asymptotic solution of a set of coupled wave equations.
A. F. Nikiforov +10 more
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MMGAT: a graph attention network framework for ATAC-seq motifs finding
BMC BioinformaticsBackground 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
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