Results 1 to 10 of about 1,901,459 (341)
Self-Weighted Supervised Discriminative Feature Selection via Redundancy Minimization
IEEE Access, 2021 Feature selection plays a key role in many machine learning problems. Especially as an important data preprocessing method, robust and pragmatic feature selection methods can be applied to extract meaningful features and eliminate redundant ones.
Haihong Yu +2 more
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Analysis of the effect of glutamyltransferase on hyperlipidemia based on decision tree
Digital Health, 2023 Objectives This study is designed to analyze the potential influencing factors of hyperlipidemia, and to explore the relationship between liver function indicators such as gamma-glutamyltransferase (GGT) and hyperlipidemia. Methods Data were derived from
Tingting Zhang +5 more
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DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning
Complexity, 2022 Speech recognition technology has played an indispensable role in realizing human-computer intelligent interaction. However, most of the current Chinese speech recognition systems are provided online or offline models with low accuracy and poor ...
Hong Lei +4 more
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Predicting miRNA-disease associations based on PPMI and attention network
BMC Bioinformatics, 2023 Background With the development of biotechnology and the accumulation of theories, many studies have found that microRNAs (miRNAs) play an important role in various diseases. Uncovering the potential associations between miRNAs and diseases is helpful to
Xuping Xie, Yan Wang, Kai He, Nan Sheng
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Frontiers in Genetics, 2021 With the rapid development of bioinformatics, researchers have applied community detection algorithms to detect functional modules in protein-protein interaction (PPI) networks that can predict the function of unknown proteins at the molecular level and ...
Yan Wang +7 more
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Frontiers in Genetics, 2021 N6-methyladenosine (m6A) is one of the most prevalent RNA post-transcriptional modifications and is involved in various vital biological processes such as mRNA splicing, exporting, stability, and so on.
Yan Wang +6 more
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Minimum Distribution Support Vector Clustering
Entropy, 2021 Support vector clustering (SVC) is a boundary-based algorithm, which has several advantages over other clustering methods, including identifying clusters of arbitrary shapes and numbers.
Yan Wang +7 more
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DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning
IEEE Access, 2020 Urine excretory proteins are among the most commonly used biomarkers in body fluids. Computational identification of urine excretory proteins can provide very useful information for identifying targeted disease biomarkers in urine by linking ...
Wei Du +5 more
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BIFFOA: A Novel Binary Improved Fruit Fly Algorithm for Feature Selection
IEEE Access, 2019 Feature selection is an important method to reduce the number of attributes of high-dimensional data and an essential preprocess work in classification.
Yun Hou +3 more
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Maximum Distance Separable Codes for Symbol-Pair Read Channels [PDF]
, 2013 We study (symbol-pair) codes for symbol-pair read channels introduced recently by Cassuto and Blaum (2010). A Singleton-type bound on symbol-pair codes is established and infinite families of optimal symbol-pair codes are constructed.
Chengmin Wang +5 more
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