Yu‐dong Cai - Nanotechnology

Author Information

Yu-Dong Cai is a researcher affiliated with the School of Life Sciences at Shanghai University in Shanghai, People's Republic of China. His research predominantly delves into various aspects of bioinformatics, systems biology, and nanotechnology, with a particular interest in computational methods for identifying biomarkers and understanding molecular interactions.

Research Contributions

Yu-Dong Cai has made significant contributions to the field of bioinformatics and computational biology. His recent works include identifying protein subcellular locations using embeddings-based node2loc, discovering COVID-19-specific transcriptomic biomarkers with machine learning methods, and investigating gene methylation signatures for fetal intolerance prediction. His research also spans identifying microbiota biomarkers for Type 2 Diabetes and recognizing patterns and rules of mutation signatures corresponding to cancer types. Yu-Dong Cai employs a variety of computational techniques, including machine learning, gene ontology, and KEGG pathways to decipher complex biological phenomena.

Aliases

Yu-Dong Cai is also known by several aliases including Yu Cai, Yu-dong Cai, Yumeng Cai, Yu Dong Cai, and Yu-dong Cai.

Publication and Citation Metrics

Metric	Value
Number of Papers	282
Citation Count	11,510
H-index	56

Publications:

Identifying Protein Subcellular Locations With Embeddings-Based node2loc

DOI: 10.1109/TCBB.2021.3080386

Year: 2022

Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods

DOI: 10.1155/2021/9939134

Year: 2021

Determining protein-protein functional associations by functional rules based on gene ontology and KEGG pathway.

DOI: 10.1016/j.bbapap.2021.140621

Year: 2021

Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes

DOI: 10.3389/fmicb.2021.711244

Year: 2021

Investigating gene methylation signatures for fetal intolerance prediction

DOI: 10.1371/journal.pone.0250032

Year: 2021

Identifying the Immunological Gene Signatures of Immune Cell Subtypes

DOI: 10.1155/2021/6639698

Year: 2021

Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines

DOI: 10.3389/fcell.2021.781285

Year: 2021

Recognizing Pattern and Rule of Mutation Signatures Corresponding to Cancer Types

DOI: 10.3389/fcell.2021.712931

Year: 2021

Identifying Infliximab- (IFX-) Responsive Blood Signatures for the Treatment of Rheumatoid Arthritis

DOI: 10.1155/2021/5556784

Year: 2021

Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes

DOI: 10.3389/fgene.2021.651610

Year: 2021

What are the Applications of Nanotechnology in Materials Science?

How to Overcome Regulatory Hurdles?

What are Nanotechnology Conversion Devices?

Why is Asymmetry Important?

What Techniques are Used in Nanomilling?

How Can Nanotechnology Address Environmental Pollution?

What are some key organizations in Nanotechnology?

What are the Applications of Graphene Oxide Produced by Hummers' Method?

How is Colloidal Stabilization Monitored?

How Does Laser Beam Shaping Enhance Resolution in Microscopy?

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