A5028884115- Algebraic structures and combinatorial models
- Advanced Topics in Algebra
- Nonlinear Waves and Solitons
- Advanced Operator Algebra Research
- Homotopy and Cohomology in Algebraic Topology
- Cancer-related molecular mechanisms research
- Rings, Modules, and Algebras
- MicroRNA in disease regulation
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Commutative Algebra and Its Applications
- Matrix Theory and Algorithms
- Gene expression and cancer classification
- Circular RNAs in diseases
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Finite Group Theory Research
- Ferroptosis and cancer prognosis
- Nasal Surgery and Airway Studies
- Viral-associated cancers and disorders
- Heavy metals in environment
- Machine Learning and ELM
- Holomorphic and Operator Theory
Nanjing Agricultural University
2015-2025
Foshan Hospital of TCM
2014-2022
Sun Yat-sen University
2014-2022
Jinling Institute of Technology
2019
First People's Hospital of Foshan
2013
Nanjing University
2003-2006
LncRNAs are regulatory noncoding RNAs that play crucial roles in many biological processes. The dysregulation of lncRNA is thought to be involved complex diseases; lncRNAs often the targets miRNAs indirect regulation gene expression. Numerous studies have indicated miRNA-lncRNA interactions closely related occurrence and development cancers. Thus, it important develop an effective method for identification cancer-related interactions. In this study, we compiled 155653 experimentally...
N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biological processes. Identifying accurately 6mA sites on genomic scale crucial for under-standing 6mA’s functions. However, the existing experimental techniques detecting are cost-ineffective, which implies great need developing new computational methods this problem. In paper, we developed, without requiring any prior knowledge and manually crafted sequence features, deep learning framework named...
Protein lysine crotonylation (Kcr) is an important type of posttranslational modification that associated with a wide range biological processes. The identification Kcr sites critical to better understanding their functional mechanisms. However, the existing experimental techniques for detecting are cost-ineffective, great need new computational methods address this problem. We here describe Adapt-Kcr, advanced deep learning model utilizes adaptive embedding and based on convolutional neural...
As a novel class of noncoding RNAs, long RNAs (lncRNAs) have been verified to be associated with various diseases. large scale transcripts are generated every year, it is significant accurately and quickly identify lncRNAs from thousands assembled transcripts. To discover new lncRNAs, we develop classification tool random forest (RF) named LncRNApred based on hybrid feature. This feature set includes three proposed features, which MaxORF, RMaxORF SNR. effective for classifying protein coding...
Abstract Summary Non-coding RNAs play important roles in transcriptional processes and participate the regulation of various biological functions, particular miRNAs lncRNAs. Despite their importance for several existing signaling pathway databases do not include information on miRNA lncRNA. Here, we redesigned a novel database named NcPath by integrating visualizing total 178 308 human experimentally validated miRNA–target interactions (MTIs), 32 282 verified lncRNA–target (LTIs) 4837 ceRNA...
Antimicrobial resistance (AMR) presents a pressing global health crisis, particularly in the post-pandemic era, underscoring urgent need for innovative therapeutics. peptides (AMPs) hold promises combating multidrug-resistant infections but are hindered by challenges clinical translation, including limited hemocompatibility and inefficient design processes. To overcome these obstacles, we developed AIPAMPDS, an AI-driven computational platform that integrates deep generative model with...
Integrals of monoidal Hom-Hopf algebras are introduced and the existence uniqueness integrals for finite-dimensional investigated first. Then applied to Maschke type theorem controlling semisimplicity separability algebras. Further, Hom-algebras characterized with additional Frobenius property, question when is studied. As applications integrals, Hom-smash product given, Morita context in Hom-category \documentclass[12pt]{minimal}\begin{document}$\widetilde{\mathcal {H}}(\mathcal...
In this paper, we introduce the category of Yetter-Drinfel'd Hom-modules which is a braided monoidal and show that full subcategory left center Hom-module category. Also study equivalent relationship between over Drinfel'd double. Finally, Faddeev-Reshetikhin-Takhtajan (FRT) type theorem for quantum Hom-Yang-Baxter equation investigated.
Abstract Soil respiration, resulting in decomposition of soil organic carbon (SOC), emits CO 2 to the atmosphere and increases under climate warming. However, impact heavy metal pollution on respiration croplands is not well understood. Here we show significantly increased efflux both CH 4 with a concomitant reduction SOC storage from polluted rice China. This change linked decline aggregation, microbial abundance fungal dominance. The release presumably driven by changes cycling occurring...
In genome-wide association studies, detecting high-order epistasis is important for analyzing the occurrence of complex human diseases and explaining missing heritability. However, there are various challenges in actual detection process due to large amount data, “small sample size problem”, diversity disease models, etc. This paper proposes a multi-objective genetic algorithm (EpiMOGA) single nucleotide polymorphism (SNP) detection. The K2 score based on Bayesian network criterion Gini...
Abstract This paper, mainly gives a Fundamental Theorem of weak Doi–Hopf modules, which is not only generalizes the Hopf modules but also relative modules. Moreover, it sufficient and necessary condition for smash product algebras to be bialgebras, semisimple algebras. Key Words: Weak algebraWeak moduleFundamental TheoremWeak algebraMathematics Subject Classification: 16W30 Acknowledgments The first author, Zhang Liangyun takes this opportunity express his thanks referee or her helpful...
Subcellular localization of microRNAs (miRNAs) is an important reflection their biological functions. Considering the spatio-temporal specificity miRNA subcellular localization, experimental detection techniques are expensive and time-consuming, which strongly motivates efficient economical computational method to predict localization. In this paper, we describe a framework, MiRLoc, miRNAs. contrast existing methods, MiRLoc uses functional similarity between miRNAs instead sequence features...
In this paper, we introduce the concept of Rota–Baxter skew braces, and provide classifications operators on various such as (Z,+,∘) (Z/(4),+,∘). We also present a necessary sufficient condition for brace to be co-inverse brace. Additionally, describe some constructions quasiskew demonstrate that every can induce quasigroup
N6-methyladenosine (m6A), the most common posttranscriptional modification in eukaryotic mRNAs, plays an important role mRNA splicing, editing, stability, degradation, etc. Since methylation state is dynamic, sequencing needs to be carried out over different time periods, which brings some difficulties identify RNA methyladenine sites. Thus, it necessary develop a fast and accurate method sites transcriptome. In this study, we use first-order second-order Markov models N6-methyladenine three...
In this article, we introduce the concepts of Hom–Long equation and dimodule. We discuss how dimodules are connected to equation. As main result, study FRT-type theorem for
This article mainly gives the structure theorem of weak comodule algebras, that is, assume H is a Hopf algebra, and B right H-comodule if there exists morphism φ: → then an algebra isomorphism: ≅ coH #H, where denotes coinvariant subalgebra B, #H smash product.
Abstract Background Currently, large-scale gene expression profiling has been successfully applied to the discovery of functional connections among diseases, genetic perturbation, and drug action. To address cost an ever-expanding profile, a new, low-cost, high-throughput reduced representation method called L1000 was proposed, with which one million profiles were produced. Although set ~ 1000 carefully chosen landmark genes that can capture 80% information from whole genome identified for...
Long non-coding RNA (lncRNA)–microRNA (miRNA) interactions are quickly emerging as important mechanisms underlying the functions of RNAs. Accordingly, predicting lncRNA–miRNA provides an basis for understanding action ncRNAs. However, accuracy established prediction methods is still limited. In this study, we used structural consistency to measure predictability interactive links based on a bilayer network by integrating information known interactions, lncRNA similarity network, and miRNA...