| Шығарылым |
Атауы |
Файл |
| Том 19, № 4 (2024) |
A Deep Neural Network Model with Attribute Network Representation for lncRNA-Protein Interaction Prediction |
(Eng)
|
|
Wei M., Yu C., Li L., You Z., Lei-Wang .
|
| Том 19, № 6 (2024) |
A Metric to Characterize Differentially Methylated Region Sets Detected from Methylation Array Data |
(Eng)
|
|
Peng X., Cui W., Zhang W., Li Z., Zhu X., Yuan L., Li J.
|
| Том 19, № 5 (2024) |
A Novel In silico Filtration Method for Discovery of Encrypted Antimicrobial Peptides |
(Eng)
|
|
Barneh F., Nazarian A., Mousavi Nadoshan R., Pooshang Bagheri K.
|
| Том 19, № 8 (2024) |
A Novel Natural Graph for Efficient Clustering of Virus Genome Sequences |
(Eng)
|
|
Song H., Sun N., Yu W., Yau S.
|
| Том 19, № 6 (2024) |
A Review of Drug-related Associations Prediction Based on Artificial Intelligence Methods |
(Eng)
|
|
Ma M., Lei X., Zhang Y.
|
| Том 19, № 6 (2024) |
A Systematic Review of Medical Expert Systems for Cardiac Arrest Prediction |
(Eng)
|
|
Kaur I., Ahmad T., Doja M.
|
| Том 19, № 3 (2024) |
A Systematic Review of the Application of Machine Learning in CpG Island (CGI) Detection and Methylation Prediction |
(Eng)
|
|
Wei R., Zhang L., Zheng H., Xiao M.
|
| Том 19, № 3 (2024) |
A Unified Probabilistic Framework for Modeling and Inferring Spatial Transcriptomic Data |
(Eng)
|
|
Huang Z., Luo S., Zhang Z., Wang Z., Zhou T., Zhang J.
|
| Том 19, № 3 (2024) |
Advancements in Yoga Pose Estimation Using Artificial Intelligence: A Survey |
(Eng)
|
|
Chamola V., Gummana E., Madan A., Rout B., Coelho Rodrigues J.
|
| Том 19, № 10 (2024) |
Advances in Deep Learning Assisted Drug Discovery Methods: A Self-review |
(Eng)
|
|
Zhang H., Saravanan K.
|
| Том 19, № 7 (2024) |
An Explainable Multichannel Model for COVID-19 Time Series Prediction |
(Eng)
|
|
He H., Xie J., Lu X., Huang D., Zhang W.
|
| Том 19, № 9 (2024) |
Application of Deep Learning Neural Networks in Computer-Aided Drug Discovery: A Review |
(Eng)
|
|
Mathivanan J., Dhayabaran V., David M., Karuna Nidhi M., Prasath K., Suvaithenamudhan S.
|
| Том 19, № 3 (2024) |
Application of Improved Support Vector Machine for Pulmonary Syndrome Exposure with Computer Vision Measures |
(Eng)
|
|
Khadidos A., Alshareef A., Manoharan H., Khadidos A., Selvarajan S.
|
| Том 19, № 10 (2024) |
A-RFP: An Adaptive Residue Flexibility Prediction Method Improving Protein-ligand Docking Based on Homologous Proteins |
(Eng)
|
|
Lei C., Fang S., Li Y., Guo F., Li M.
|
| Том 19, № 6 (2024) |
Bioinformatic Resources for Plant Genomic Research |
(Eng)
|
|
Valsala Sudarsanan S., Sreekumar N.
|
| Том 19, № 4 (2024) |
Bioinformatics Perspective of Drug Repurposing |
(Eng)
|
|
Patel B., Gelat B., Soni M., Rathaur P., SR K.
|
| Том 19, № 10 (2024) |
CFCN: An HLA-peptide Prediction Model based on Taylor Extension Theory and Multi-view Learning |
(Eng)
|
|
Rao B., Han B., Wei L., Zhang Z., Jiang X., Manavalan B.
|
| Том 19, № 1 (2024) |
Computational Methods for Functional Characterization of lncRNAS in Human Diseases: A Focus on Co-Expression Networks |
(Eng)
|
|
Jha P., Barbeiro M., Lupieri A., Aikawa E., Uchida S., Aikawa M.
|
| Том 19, № 3 (2024) |
Deep Learning for Clustering Single-cell RNA-seq Data |
(Eng)
|
|
Zhu Y., Bai L., Ning Z., Fu W., Liu J., Jiang L., Fei S., Gong S., Lu L., Deng M., Yi M.
|
| Том 19, № 9 (2024) |
Deep Learning in DNA- and RNA-sequence Analysis: Advances and New Challenges |
(Eng)
|
|
Li X.
|
| Том 19, № 7 (2024) |
DeepEpi: Deep Learning Model for Predicting Gene Expression Regulation Based on Epigenetic Histone Modifications |
(Eng)
|
|
Hamdy R., Omar Y., Maghraby F.
|
| Том 19, № 9 (2024) |
DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers |
(Eng)
|
|
Soylu N., Sefer E.
|
| Том 19, № 7 (2024) |
Discovering Microbe-disease Associations with Weighted Graph Convolution Networks and Taxonomy Common Tree |
(Eng)
|
|
Xing J., Shi Y., Su X., Wu S.
|
| Том 19, № 5 (2024) |
DMR_Kmeans: Identifying Differentially Methylated Regions Based on k-means Clustering and Read Methylation Haplotype Filtering |
(Eng)
|
|
Peng X., Cui W., Kong X., Huang Y., Li J.
|
| Том 19, № 4 (2024) |
Drug-target Interaction Prediction By Combining Transformer and Graph Neural Networks |
(Eng)
|
|
Liu J., Lu Y., Guan S., Jiang T., Ding Y., Fu Q., Cui Z., Wu H.
|
| Том 19, № 10 (2024) |
Enhancing Drug-Target Binding Affinity Prediction through Deep Learning and Protein Secondary Structure Integration |
(Eng)
|
|
Zhang R., Zhu B., Jiang T., Cui Z., Wu H.
|
| Том 19, № 9 (2024) |
FMDVSerPred: A Novel Computational Solution for Foot-and-mouth Disease Virus Classification and Serotype Prediction Prevalent in Asia Using VP1 Nucleotide Sequence Data |
(Eng)
|
|
Das S., Pal S., Mahapatra S., Biswal J., Pradhan S., Sahoo A., Singh R.
|
| Том 19, № 5 (2024) |
Full-length PacBio Amplicon Sequencing to Unveil RNA Editing Sites |
(Eng)
|
|
Zhu X., Liao M., Zhu Y., Dong Y.
|
| Том 19, № 10 (2024) |
Genotype and Phenotype Association Analysis Based on Multi-omics Statistical Data |
(Eng)
|
|
Guo X., Song Y., Xu D., Jin X., Shang X.
|
| Том 19, № 1 (2024) |
Identification and Functional Prediction of lncRNAs using Bioinformatic Techniques |
(Eng)
|
|
Uchida S.
|
| Том 19, № 8 (2024) |
Identification of Mitophagy-Related Genes in Sepsis |
(Eng)
|
|
Zeng X., Zhang M., Liao S., Wang Y., Ren Y., Li R., Li T., Mao A., Li G., Zhang Y.
|
| Том 19, № 8 (2024) |
Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm |
(Eng)
|
|
Cui Y., Wei L., Wang R., Ye X., Sakurai T.
|
| Том 19, № 4 (2024) |
Identifying Pathological Myopia Associated Genes with A Random Walk-Based Method in Protein-Protein Interaction Network |
(Eng)
|
|
Zhang J., Huang T., Sun Q., Zhang J.
|
| Том 19, № 2 (2024) |
In silico Study of Clinical Prognosis Associated MicroRNAs for Patients with Metastasis in Clear Cell Renal Carcinoma |
(Eng)
|
|
Wijaya E., Mekala V., Zaenudin E., Ng K.
|
| Том 19, № 8 (2024) |
Inferring Gene Regulatory Networks from Single-Cell Time-Course Data Based on Temporal Convolutional Networks |
(Eng)
|
|
Tan D., Wang J., Cheng Z., Su Y., Zheng C.
|
| Том 19, № 10 (2024) |
Integrated Machine Learning Algorithms for Stratification of Patients with Bladder Cancer |
(Eng)
|
|
He Y., Wei H., Liao S., Ou R., Xiong Y., Zuo Y., Yang L.
|
| Том 19, № 4 (2024) |
Integrating Single-cell and Bulk RNA Sequencing Reveals Stemness Phenotype Associated with Clinical Outcomes and Potential Immune Evasion Mechanisms in Hepatocellular Carcinoma |
(Eng)
|
|
Zhu X., Wang X., Wang H., Xiao Y., Jiang M., Wang M., Zhang N., Xie A., Yuan H., Zhang Z., Zhang J., Xu Y.
|
| Том 19, № 9 (2024) |
Integration of Artificial Intelligence, Machine Learning and Deep Learning Techniques in Genomics: Review on Computational Perspectives for NGS Analysis of DNA and RNA Seq Data |
(Eng)
|
|
K. C., Niranjan V., Vishal A., Setlur A.
|
| Том 19, № 1 (2024) |
Interplay of miRNA-TF-Gene Through a Novel Six-node Feed-forward Loop Identified Inflammatory Genes as Key Regulators in Type-2 Diabetes |
(Eng)
|
|
Bhat G., Keshav T., Hariharapura R., Fayaz S.
|
| Том 19, № 2 (2024) |
Investigation of LncRNAs Expression as a Potential Biomarker in the Diagnosis and Treatment of Human Brucellosis |
(Eng)
|
|
Khaledi M., Haddadi M., Aziziraftar S., Neamati F., Sahebkar A., Kodori M., Abavisani M., Fathizadeh H.
|
| Том 19, № 2 (2024) |
iProm-Yeast: Prediction Tool for Yeast Promoters Based on ML Stacking |
(Eng)
|
|
Shujaat M., Yoo S., Tayara H., Chong K.
|
| Том 19, № 4 (2024) |
iPSI(2L)-EDL: a Two-layer Predictor for Identifying Promoters and their Types based on Ensemble Deep Learning |
(Eng)
|
|
Xiao X., Hu Z., Luo Z., Xu Z.
|
| Том 19, № 3 (2024) |
Mathematical Modelling and Bioinformatics Analyses of Drug Resistance for Cancer Treatment |
(Eng)
|
|
Li L., Zhao T., Hu Y., Ren S., Tian T.
|
| Том 19, № 7 (2024) |
Metabolomics: Recent Advances and Future Prospects Unveiled |
(Eng)
|
|
Sharma S., Singh G., Akhter M.
|
| Том 19, № 1 (2024) |
miRNA, siRNA, and lncRNA: Recent Development of Bioinformatics Tools and Databases in Support of Combating Different Diseases |
(Eng)
|
|
Chakraborty C., Bhattacharya M., Ranjan Sharma A.
|
| Том 19, № 9 (2024) |
MSSD: An Efficient Method for Constructing Accurate and Stable Phylogenetic Networks by Merging Subtrees of Equal Depth |
(Eng)
|
|
Xing J., Song X., Yu M., Wang J., Yu J.
|
| Том 19, № 4 (2024) |
NaProGraph: Network Analyzer for Interactions between Nucleic Acids and Proteins |
(Eng)
|
|
Nematzadeh S., Aydin N., Kurt Z., Torkamanian-Afshar M.
|
| Том 19, № 2 (2024) |
Network Propagation-based Identification of Oligometastatic Biomarkers in Metastatic Colorectal Cancer |
(Eng)
|
|
Jin Q., Yu K., Zhang X., Huo D., Zhang D., Liu L., Xie H., Liang B., Chen X.
|
| Том 19, № 8 (2024) |
Network Subgraph-based Method: Alignment-free Technique for Molecular Network Analysis |
(Eng)
|
|
Zaenudin E., Wijaya E., Mekala V., Ng K.
|
| Том 19, № 8 (2024) |
Optimized Hybrid Deep Learning for Real-Time Pandemic Data Forecasting: Long and Short-Term Perspectives |
(Eng)
|
|
Dash S., Giri S., Pani S., Mallik S., Wang M., Qin H.
|
| Том 19, № 9 (2024) |
P4PC: A Portal for Bioinformatics Resources of piRNAs and circRNAs |
(Eng)
|
|
Liu Y., Li R., Ding Y., Hei X., Wu F.
|
| Том 19, № 5 (2024) |
Predicting the Risk of Breast Cancer Recurrence and Metastasis based on miRNA Expression |
(Eng)
|
|
Lv Y., Wang Y., Zhang Y., Chen S., Yao Y.
|
| Том 19, № 4 (2024) |
Prediction of DNA-binding Sites in Transcriptions Factor in Fur-like Proteins Using Machine Learning and Molecular Descriptors |
(Eng)
|
|
Muñoz J., Reyes-Suárez J., Besoain F., Arenas-Salinas M.
|
| Том 19, № 9 (2024) |
Prediction of Drug Pathway-based Disease Classes using Multiple Properties of Drugs |
(Eng)
|
|
Chen L., Li L.
|
| Том 19, № 5 (2024) |
Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple Features |
(Eng)
|
|
Guan M., Qiu W., Wang Q., Xiao X.
|
| Том 19, № 7 (2024) |
Prediction of Super-enhancers Based on Mean-shift Undersampling |
(Eng)
|
|
Cheng H., Ding S., Jia C.
|
| Том 19, № 9 (2024) |
Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data |
(Eng)
|
|
Wang J., Yuan L.
|
| Том 19, № 4 (2024) |
QLDTI: A Novel Reinforcement Learning-based Prediction Model for Drug-Target Interaction |
(Eng)
|
|
Gao J., Fu Q., Sun J., Wang Y., Xia Y., Lu Y., Wu H., Chen J.
|
| Том 19, № 6 (2024) |
RDR100: A Robust Computational Method for Identification of Krüppel-like Factors |
(Eng)
|
|
Malik A., Kamli M., Sabir J., Phan L., Kim C., Manavalan B.
|
| Том 19, № 3 (2024) |
Recent Advances in the Phylogenetic Analysis to Study Rumen Microbiome |
(Eng)
|
|
Wassan J., Wang H., Zheng H.
|
| Том 19, № 1 (2024) |
Recommendations for Bioinformatic Tools in lncRNA Research |
(Eng)
|
|
Distefano R., Ilieva M., Rennie S., Uchida S.
|
| Том 19, № 1 (2024) |
Representation Learning of Biological Concepts: A Systematic Review |
(Eng)
|
|
Yang Y., Zuo X., Das A., Xu H., Zheng W.
|
| Том 19, № 5 (2024) |
Revealing ANXA6 as a Novel Autophagy-related Target for Pre-eclampsia Based on the Machine Learning |
(Eng)
|
|
Zhu B., Geng H., Yang F., Wu Y., Cao T., Wang D., Wang Z.
|
| Том 19, № 5 (2024) |
SCV Filter: A Hybrid Deep Learning Model for SARS-CoV-2 Variants Classification |
(Eng)
|
|
Wang H., Gao J.
|
| Том 19, № 10 (2024) |
Sia-m7G: Predicting m7G Sites through the Siamese Neural Network with an Attention Mechanism |
(Eng)
|
|
Zheng J., Zhou Y.
|
| Том 19, № 7 (2024) |
Stacking-Kcr: A Stacking Model for Predicting the Crotonylation Sites of Lysine by Fusing Serial and Automatic Encoder |
(Eng)
|
|
Liang Y., Li S., You X., Guo Y., Tang J.
|
| Том 19, № 10 (2024) |
STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer |
(Eng)
|
|
Fan L., Yang X., Wang L., Zhu X.
|
| Том 19, № 1 (2024) |
SVM-Root: Identification of Root-Associated Proteins in Plants by Employing the Support Vector Machine with Sequence-Derived Features |
(Eng)
|
|
Kumar Meher P., Hati S., Sahu T., Pradhan U., Gupta A., Rath S.
|
| Том 19, № 2 (2024) |
Thorough Assessment of Machine Learning Techniques for Predicting Protein-Nucleic Acid Binding Hot Spots |
(Eng)
|
|
Zou X., Zhang C., Tang M., Deng L.
|
| Том 19, № 7 (2024) |
Toxicity Prediction for Immune Thrombocytopenia Caused by Drugs Based on Logistic Regression with Feature Importance |
(Eng)
|
|
Mentari O., Shujaat M., Tayara H., Chong K.
|
| Том 19, № 5 (2024) |
Transformer and Graph Transformer-Based Prediction of Drug-Target Interactions |
(Eng)
|
|
Qian M., Lu W., Zhang Y., Liu J., Wu H., Lu Y., Li H., Fu Q., Shen J., Xiao Y.
|
| Том 19, № 8 (2024) |
Transformer-based Named Entity Recognition for Clinical Cancer Drug Toxicity by Positive-unlabeled Learning and KL Regularizers |
(Eng)
|
|
Xie W., Xu J., Zhao C., Li J., Han S., Shao T., Wang L., Feng W.
|
| Том 19, № 1 (2024) |
Translation of Circular RNAs: Functions of Translated Products and Related Bioinformatics Approaches |
(Eng)
|
|
Hwang J., Kook T., Paulus S., Park J.
|
| Том 19, № 2 (2024) |
TumorDet: A Breast Tumor Detection Model Based on Transfer Learning and ShuffleNet |
(Eng)
|
|
Zhang T., Pan L., Yang Q., Yang G., Han N., Qiao S.
|
| Нәтижелер 74 - 1/74 |
|
