Search Results - "Zhu, You"
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Healable and Recyclable Elastomers with Record‐High Mechanical Robustness, Unprecedented Crack Tolerance, and Superhigh Elastic Restorability
Published in Advanced materials (Weinheim) (01-07-2021)“…Spider silk is one of the most robust natural materials, which has extremely high strength in combination with great toughness and good elasticity. Inspired by…”
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MicroRNAs and complex diseases: from experimental results to computational models
Published in Briefings in bioinformatics (22-03-2019)“…Abstract Plenty of microRNAs (miRNAs) were discovered at a rapid pace in plants, green algae, viruses and animals. As one of the most important components in…”
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3
Long non-coding RNAs and complex diseases: from experimental results to computational models
Published in Briefings in bioinformatics (01-07-2017)“…Abstract LncRNAs have attracted lots of attentions from researchers worldwide in recent decades. With the rapid advances in both experimental technology and…”
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In Situ Grown Silver–Polymer Framework with Coordination Complexes for Functional Artificial Tissues
Published in Advanced materials (Weinheim) (01-06-2023)“…Self‐sensing actuators are critical to artificial robots with biomimetic proprio‐/exteroception properties of biological neuromuscular systems. Existing add‐on…”
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5
Distributed Winner-Take-All in Dynamic Networks
Published in IEEE transactions on automatic control (01-02-2017)“…This paper is concerned with the winner-take-all (WTA) problem on networks. We propose the first distributed protocol to address this problem dynamically. This…”
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A "Molecular Water Pipe": A Giant Tubular Cluster {Dy72} Exhibits Fast Proton Transport and Slow Magnetic Relaxation
Published in Advanced materials (Weinheim) (01-12-2016)“…A lanthanide cluster, PCC‐72, which is the second largest, with 72 Dy(III) ions assembled into an unprecedented tubular structure, is synthesized. Remarkably,…”
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BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction
Published in Bioinformatics (15-09-2018)“…Abstract Motivation A large number of resources have been devoted to exploring the associations between microRNAs (miRNAs) and diseases in the recent years…”
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PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
Published in PLoS computational biology (01-03-2017)“…In the recent few years, an increasing number of studies have shown that microRNAs (miRNAs) play critical roles in many fundamental and important biological…”
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HiSCF: leveraging higher-order structures for clustering analysis in biological networks
Published in Bioinformatics (01-05-2021)“…Abstract Motivation Clustering analysis in a biological network is to group biological entities into functional modules, thus providing valuable insight into…”
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10
A graph auto-encoder model for miRNA-disease associations prediction
Published in Briefings in bioinformatics (01-07-2021)“…Abstract Emerging evidence indicates that the abnormal expression of miRNAs involves in the evolution and progression of various human complex diseases…”
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Hierarchical graph attention network for miRNA-disease association prediction
Published in Molecular therapy (06-04-2022)“…Many biological studies show that the mutation and abnormal expression of microRNAs (miRNAs) could cause a variety of diseases. As an important biomarker for…”
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GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm
Published in PLoS computational biology (20-05-2020)“…Numerous evidences indicate that Circular RNAs (circRNAs) are widely involved in the occurrence and development of diseases. Identifying the association…”
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Graph representation learning in bioinformatics: trends, methods and applications
Published in Briefings in bioinformatics (17-01-2022)“…Abstract Graph is a natural data structure for describing complex systems, which contains a set of objects and relationships. Ubiquitous real-life biomedical…”
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HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks
Published in Briefings in bioinformatics (17-01-2022)“…Abstract Identifying new indications for drugs plays an essential role at many phases of drug research and development. Computational methods are regarded as…”
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Ultrasmall Single‐Chain Nanoparticles Derived from Amphiphilic Alternating Copolymers
Published in Macromolecular rapid communications. (01-07-2024)“…The collapse or folding of an individual polymer chain into a nanoscale particle gives rise to single‐chain nanoparticles (SCNPs), which share a soft nature…”
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GALAMOST: GPU-accelerated large-scale molecular simulation toolkit
Published in Journal of computational chemistry (30-09-2013)“…GALAMOST [graphics processing unit (GPU)‐accelerated large‐scale molecular simulation toolkit] is a molecular simulation package designed to utilize the…”
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Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest
Published in PloS one (06-05-2015)“…The study of protein-protein interactions (PPIs) can be very important for the understanding of biological cellular functions. However, detecting PPIs in the…”
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WBSMDA: Within and Between Score for MiRNA-Disease Association prediction
Published in Scientific reports (16-02-2016)“…Increasing evidences have indicated that microRNAs (miRNAs) are functionally associated with the development and progression of various complex human diseases…”
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A survey on computational models for predicting protein-protein interactions
Published in Briefings in bioinformatics (02-09-2021)“…Proteins interact with each other to play critical roles in many biological processes in cells. Although promising, laboratory experiments usually suffer from…”
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Highly Efficient Framework for Predicting Interactions Between Proteins
Published in IEEE transactions on cybernetics (01-03-2017)“…Protein-protein interactions (PPIs) play a central role in many biological processes. Although a large amount of human PPI data has been generated by…”
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