Bentham is offering subject-based scholarly content collections which are tailored to meet specific research needs. Researchers can access related articles from current and back volumes by purchasing access to these collections. Subscribers will also have access to new articles as soon as they are published and added to these collections. With new articles being added to these collections on a daily basis, the collections serve as an ideal tool to keep researchers updated with new developments in the respective fields.
ISSN (Print): 1389-2029 ISSN (Online): 1875-5488
Volume 4, Issue 1, 2003
Page: [105 - 108] Pages: 4
DOI: 10.2174/1389202033350164
Price: $65
Title: Subject Index To Volume 3
Volume: 4 Issue: 1
Author(s): Bentham Science Publishers
Affiliation:
Cite this article as:
Publishers Bentham Science, Subject Index To Volume 3, Current Genomics 2003; 4 (1) . https://dx.doi.org/10.2174/1389202033350164
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
This special issue aims to explore the cutting-edge intersection of genomics and oncology, with a strong emphasis on original data and experimental validation. While maintaining the focus on how machine learning and advanced data analysis techniques are revolutionizing our understanding and treatment of cancer, this issue will prioritize contributions that ...read more
Recent advancements in AI and omics methodologies have revolutionized the landscape of biomedical research, enabling us to extract valuable information from vast amounts of complex data. By combining AI algorithms with omics technologies such as genomics, proteomics, metabolomics, and transcriptomics, researchers can obtain a more comprehensive and multi-dimensional analysis of ...read more
Integrating machine learning (ML) with genome science is driving transformative advancements in fields such as genomics, personalized medicine, and drug discovery. Genomic data is vast and complex, making traditional analysis methods inadequate for uncovering deep insights. Machine learning, particularly deep learning models like convolutional neural networks (CNNs) and recurrent neural ...read more
Current Enzyme Inhibition
Current Molecular Medicine
Current Gene Therapy
Current Protein & Peptide Science
Current Signal Transduction Therapy
Protein & Peptide Letters
Current Bioinformatics
Recent Patents on Biotechnology
Current Pharmacogenomics and Personalized Medicine
MicroRNA
Mind Maps in Clinical Biochemistry
A Treatise on Ecological Science
From SARS-CoV to MARS-CoV
Microbiology for ICAR NET: A Comprehensive Exam Preparation Guide
Decolorization by Thanatephorus Cucumeris Dec 1
Industrial Applications of Soil Microbes
The Future of Agriculture: IoT, AI and Blockchain Technology for Sustainable Farming
Handbook of Integrated Weed Management for Major Field Crops
Practical Biochemistry
Anticancer Drugs Sourced from Marine Life