Results 21 to 30 of about 1,917,881 (292)
A multi-task positive-unlabeled learning framework to predict secreted proteins in human body fluids
Complex & Intelligent Systems, 2023 Body fluid biomarkers are very important, because they can be detected in a non-invasive or minimally invasive way. The discovery of secreted proteins in human body fluids is an essential step toward proteomic biomarker identification for human diseases.
Kai He, Yan Wang, Xuping Xie, Dan Shao
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Prediction of Proteins in Cerebrospinal Fluid and Application to Glioma Biomarker Identification
Molecules, 2023 Cerebrospinal fluid (CSF) proteins are very important because they can serve as biomarkers for central nervous system diseases. Although many CSF proteins have been identified with wet experiments, the identification of CSF proteins is still a challenge.
Kai He, Yan Wang, Xuping Xie, Dan Shao
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CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins
BMC Bioinformatics, 2020 Background Compared with disease biomarkers in blood and urine, biomarkers in saliva have distinct advantages in clinical tests, as they can be conveniently examined through noninvasive sample collection.
Wei Du +5 more
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Semiclassical approximation and noncommutative geometry [PDF]
, 2011 We consider the long time semiclassical evolution for the linear Schr\"odinger equation. We show that, in the case of chaotic underlying classical dynamics and for times up to $\hbar^{-2+\epsilon},\ \epsilon>0$, the symbol of a propagated observable by ...
Paul, Thierry
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EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
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Gaussian approximation based mixture reduction for near optimum detection in MIMO systems [PDF]
, 2005 The optimal "soft" symbol detection for spatial multiplexing multiple input multiple output (MIMO) system with known channel information requires knowledge of the marginal posterior symbol probabilities for each antenna.
Andrieu, C +3 more
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A comprehensive psychological tendency prediction model for pregnant women based on questionnaires
Scientific Reports, 2023 More and more people are under high pressure in modern society, leading to growing mental disorders, such as antenatal depression for pregnant women. Antenatal depression can affect pregnant woman’s physical and psychological health and child outcomes ...
Xiaosong Han +6 more
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Entropy, 2023 Managed pressure drilling (MPD) is the most effective means to ensure drilling safety, and MPD is able to avoid further deterioration of complex working conditions through precise control of the wellhead back pressure.
Siqing Wei +5 more
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Frontiers in Genetics, 2019 In recent years, obtaining RNA secondary structure information has played an important role in RNA and gene function research. Although some RNA secondary structures can be gained experimentally, in most cases, efficient, and accurate computational ...
Hao Zhang +6 more
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Symbols and the bifurcation between procedural and conceptual thinking [PDF]
, 2001 Symbols occupy a pivotal position between processes to be carried out and concepts to be thought about. They allow us both to d o mathematical problems and to think about mathematical relationships.
Bin Ali, Maselan +9 more
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