Results 21 to 30 of about 1,925,380 (293)
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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Blind block synchronization algorithms in cyclic prefix systems [PDF]
, 2008 In orthogonal frequency division multiplexing (OFDM) systems, symbol synchronization is a critical step for successful data transmission. While this task is done in most current systems by using training symbols, a few studies have been dedicated to ...
Su, Borching, Vaidyanathan, P. P.
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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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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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Estimates on the Size of Symbol Weight Codes [PDF]
, 2012 The study of codes for powerlines communication has garnered much interest over the past decade. Various types of codes such as permutation codes, frequency permutation arrays, and constant composition codes have been proposed over the years.
Han Mao Kiah +4 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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Overlapping Community Detection Based on Membership Degree Propagation
Entropy, 2020 A community in a complex network refers to a group of nodes that are densely connected internally but with only sparse connections to the outside. Overlapping community structures are ubiquitous in real-world networks, where each node belongs to at least
Rui Gao +4 more
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