Results 31 to 40 of about 428,043 (317)

Predicting miRNA-disease associations based on multi-view information fusion

open access: yesFrontiers in Genetics, 2022
MicroRNAs (miRNAs) play an important role in various biological processes and their abnormal expression could lead to the occurrence of diseases. Exploring the potential relationships between miRNAs and diseases can contribute to the diagnosis and ...
Xuping Xie   +6 more
doaj   +1 more source

Multiple-Symbol Detection Aided Differential Spatial Division Multiple Access [PDF]

open access: yes, 2011
This paper presents a multiple-symbol differential spatial division multiple access (MS-DSDMA) system conceived for low-complexity and high-bandwidth-efficiency applications operating in time-varying fading channels, where no channel estimation is ...
Wang, Li   +3 more
core   +1 more source

A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming

open access: yesFrontiers 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
doaj   +1 more source

LncMirNet: Predicting LncRNA–miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences

open access: yesMolecules, 2020
Long non-coding RNA (LncRNA) and microRNA (miRNA) are both non-coding RNAs that play significant regulatory roles in many life processes. There is cumulating evidence showing that the interaction patterns between lncRNAs and miRNAs are highly related to ...
Sen Yang   +5 more
doaj   +1 more source

MultiSec: Multi-Task Deep Learning Improves Secreted Protein Discovery in Human Body Fluids

open access: yesMathematics, 2022
Prediction of secreted proteins in human body fluids is essential since secreted proteins hold promise as disease biomarkers. Various approaches have been proposed to predict whether a protein is secreted into a specific fluid by its sequence.
Kai He, Yan Wang, Xuping Xie, Dan Shao
doaj   +1 more source

Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential Decoding Aided Non-coherent Detection [PDF]

open access: yes, 2011
We propose a novel near-capacity Multiple-Symbol Differential Decoding (MSDD) aided cooperative Differential Linear Dispersion Code (DLDC) scheme, which exhibits a high grade of system design flexibility in terms of relays selection and rate allocation ...
Ng, Soon   +5 more
core   +1 more source

A Well-Overflow Prediction Algorithm Based on Semi-Supervised Learning

open access: yesEnergies, 2022
Oil drilling is the core process of oil and natural gas resources exploitation. Well overflow is one of the biggest threats to safety drilling. Prediction of the overflow in advance can effectively avoid the occurrence of this kind of accident.
Wei Liu   +4 more
doaj   +1 more source

A Near-Capacity Differentially Encoded Non-Coherent Adaptive Multiple-Symbol-Detection Aided Three-Stage Coded Scheme [PDF]

open access: yes, 2010
This paper presents an Irregular Distributed Hybrid Concatenated Differential (Ir-DHCD) coding scheme contrived for the relay aided differential decode-and-forward (DDF) cooperative system using multiple-symbol differential sphere detection (MSDSD ...
Wang, Li   +7 more
core   +1 more source

A Multi-Level Iterative Bi-Clustering Method for Discovering miRNA Co-regulation Network of Abiotic Stress Tolerance in Soybeans

open access: yesFrontiers in Plant Science, 2022
Although growing evidence shows that microRNA (miRNA) regulates plant growth and development, miRNA regulatory networks in plants are not well understood. Current experimental studies cannot characterize miRNA regulatory networks on a large scale.
Haowu Chang   +17 more
doaj   +1 more source

A probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors [PDF]

open access: yes, 2008
A new probabilistic data association (PDA) approach is proposed for symbol detection in spatial multiplexing multiple-input multiple-output (MIMO) systems.
Yang, Shaoshi   +9 more
core   +1 more source

Home - About - Disclaimer - Privacy