📑From Omics to Multi-Omics: A Review of Advantages and Tradeoffs
📗 Journal: Genes (I.F.=2.8)
🗓Publish year: 2024
🧑💻Authors: C. Nelson Hayes, Hikaru Nakahara, Atsushi Ono, ...
🏢Universities: Hiroshima University, Japan
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📲Channel: @Bioinformatics
#review #omics
📗 Journal: Genes (I.F.=2.8)
🗓Publish year: 2024
🧑💻Authors: C. Nelson Hayes, Hikaru Nakahara, Atsushi Ono, ...
🏢Universities: Hiroshima University, Japan
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📲Channel: @Bioinformatics
#review #omics
👍4❤1🔥1👌1
📑Drug Discovery in the Age of Artificial Intelligence: Transformative Target-Based Approaches
📕 Journal: International Journal of Molecular Sciences (I.F.=4.9)
🗓Publish year: 2024
🧑💻Authors: Akshata Yashwant Patne,Sai Madhav Dhulipala,William Lawless, ...
🏢Universities: University of South Florida, USA - McGill University, Canada
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📲Channel: @Bioinformatics
#review #drug #ai
📕 Journal: International Journal of Molecular Sciences (I.F.=4.9)
🗓Publish year: 2024
🧑💻Authors: Akshata Yashwant Patne,Sai Madhav Dhulipala,William Lawless, ...
🏢Universities: University of South Florida, USA - McGill University, Canada
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📲Channel: @Bioinformatics
#review #drug #ai
❤7👍1
🎓 From multi-omics data to global association networks: Application to disease module finding and pathway analysis
📔Doctoral thesis from Stockholm University, Sweden
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #multi_omics #pathway #network
📔Doctoral thesis from Stockholm University, Sweden
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #multi_omics #pathway #network
👍10
📃 A comprehensive review for chronic disease prediction using machine learning algorithms
📓 Journal: Journal of Electrical Systems and Information Technology
🗓Publish year: 2024
🧑💻Authors: Rakibul Islam, Azrin Sultana & Mohammad Rashedul Islam
🏢Universities: American International University-Bangladesh & Bangladesh University of Health Sciences,, Bangladesh
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📲Channel: @Bioinformatics
#review #machaine_learning #chronic
📓 Journal: Journal of Electrical Systems and Information Technology
🗓Publish year: 2024
🧑💻Authors: Rakibul Islam, Azrin Sultana & Mohammad Rashedul Islam
🏢Universities: American International University-Bangladesh & Bangladesh University of Health Sciences,, Bangladesh
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📲Channel: @Bioinformatics
#review #machaine_learning #chronic
❤3👍1
📚Book Chapter:
Recent Advances in Computational Prediction of Secondary and Supersecondary Structures from Protein Sequences
📗Book Name: Protein Supersecondary Structures Methods and Protocols
🗓Publish year: 2025
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📲Channel: @Bioinformatics
#chapter #protein #secondary
Recent Advances in Computational Prediction of Secondary and Supersecondary Structures from Protein Sequences
📗Book Name: Protein Supersecondary Structures Methods and Protocols
🗓Publish year: 2025
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📲Channel: @Bioinformatics
#chapter #protein #secondary
👍12❤1👏1
🎥 AI in Cancer Research and Oncology Applications: An Overview of Recent Advances
💥 From University of Alabama at Birmingham
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📲Channel: @Bioinformatics
#video #cancer #ai #oncology
💥 From University of Alabama at Birmingham
🎞 Watch
📲Channel: @Bioinformatics
#video #cancer #ai #oncology
YouTube
AI in Cancer Research and Oncology Applications: An Overview of Recent Advances
Special Lecture by Jake Chen, PhD: AI in Cancer Research and Oncology Applications: An Overview of Recent Advances
Dr. Jake Chen, Professor of Generics and, Chief Bioinformatics Officer, and Associate Director of the Informatics Institute at UAB, presents…
Dr. Jake Chen, Professor of Generics and, Chief Bioinformatics Officer, and Associate Director of the Informatics Institute at UAB, presents…
👍5🔥2❤1👌1
📄 Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data
📘 Journal: Cancer Pathogenesis and Therapy
🗓Publish year: 2024
🧑💻Authors: Bingxin Lu
🏢Universities: University of Surrey, UK
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📲Channel: @Bioinformatics
#review #cancer #phylogenetic #dna
📘 Journal: Cancer Pathogenesis and Therapy
🗓Publish year: 2024
🧑💻Authors: Bingxin Lu
🏢Universities: University of Surrey, UK
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📲Channel: @Bioinformatics
#review #cancer #phylogenetic #dna
👍4
Forwarded from Network Analysis Resources & Updates
📃Current and future directions in network biology
🗓 Publish year: 2023
📘Journal: Bioinformatics Advances (I.F=2.4)
🧑💻Authors: Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, ...
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📱Channel: @ComplexNetworkAnalysis
#paper #Biology #Direction
🗓 Publish year: 2023
📘Journal: Bioinformatics Advances (I.F=2.4)
🧑💻Authors: Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, ...
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📱Channel: @ComplexNetworkAnalysis
#paper #Biology #Direction
❤5👍1
📑 Opportunities, challenges and future perspectives of using bioinformatics and artificial intelligence techniques on tropical disease identification using omics data
📕 Journal: Frontiers in Digital Healthy (I.F.=3.2)
🗓Publish year: 2024
🧑💻Authors: S. M. Vidanagamachchi, K. M. G. T. R. Waidyarathna
🏢Universities: University of Ruhuna, Sri Lanka
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📲Channel: @Bioinformatics
#review #ai #tropical_disease #omic
📕 Journal: Frontiers in Digital Healthy (I.F.=3.2)
🗓Publish year: 2024
🧑💻Authors: S. M. Vidanagamachchi, K. M. G. T. R. Waidyarathna
🏢Universities: University of Ruhuna, Sri Lanka
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📲Channel: @Bioinformatics
#review #ai #tropical_disease #omic
🔥2
📃 Large language models and their applications in bioinformatics
📔 Journal: Computational and Structural Biotechnology Journal (I.F.=4.5)
🗓Publish year: 2024
🧑💻Authors: Oluwafemi A. Sarumi, Dominik Heider
🏢Universities: Heinrich-Heine-University Duesseldorf, Germany
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📲Channel: @Bioinformatics
#review #llm #large_language_models
📔 Journal: Computational and Structural Biotechnology Journal (I.F.=4.5)
🗓Publish year: 2024
🧑💻Authors: Oluwafemi A. Sarumi, Dominik Heider
🏢Universities: Heinrich-Heine-University Duesseldorf, Germany
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📲Channel: @Bioinformatics
#review #llm #large_language_models
👍7🔥2👏1💯1
🎥 Introduction to Pathway Analysis
💥 From Minnesota Supercomputing Institute
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📲Channel: @Bioinformatics
#video #pathway
💥 From Minnesota Supercomputing Institute
🎞 Watch
📲Channel: @Bioinformatics
#video #pathway
YouTube
Intro to Pathway Analysis Tutorial
Topic: Intro to Pathway Analysis Tutorial
Presented by: RI Bioinformatics
Date: November 12 2024
Learn more at https://www.msi.umn.edu
Presented by: RI Bioinformatics
Date: November 12 2024
Learn more at https://www.msi.umn.edu
👍5❤3👏1
📑Bioinformatics approaches for studying molecular sex differences in complex diseases
📗 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2024
🧑💻Authors: Rebecca Ting Jiin Loo, Mohamed Soudy, Francesco Nasta,...
🏢Universities: University of Luxembourg, Luxembourg
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📲Channel: @Bioinformatics
#review #sex #disease
📗 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2024
🧑💻Authors: Rebecca Ting Jiin Loo, Mohamed Soudy, Francesco Nasta,...
🏢Universities: University of Luxembourg, Luxembourg
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📲Channel: @Bioinformatics
#review #sex #disease
💯5❤3👍2👏1
🎓 Identification, genotyping and representation of structural variants in pangenomes
📔Doctoral thesis from Université de Rennes, France
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #variant #genotyping #pangenomes
📔Doctoral thesis from Université de Rennes, France
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #variant #genotyping #pangenomes
👍8
Forwarded from Network Analysis Resources & Updates
📑 Application of graph theory in liver research: A review
🗓 Publish year: 2024
📕Journal: Portal Hypertension & Cirrhosis
🧑💻Authors: Xumei Hu, Longyu Sun, Rencheng Zheng, ...
🏢Universities: Fudan University, China
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⚡️Channel: @ComplexNetworkAnalysis
#review #liver #graph
🗓 Publish year: 2024
📕Journal: Portal Hypertension & Cirrhosis
🧑💻Authors: Xumei Hu, Longyu Sun, Rencheng Zheng, ...
🏢Universities: Fudan University, China
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⚡️Channel: @ComplexNetworkAnalysis
#review #liver #graph
❤3👍3
📽 Large Language Models (as in ChatGPT) for Protein Predictions
🎞 Watch
📲Channel: @Bioinformatics
#video #chatGPT #protein
🎞 Watch
📲Channel: @Bioinformatics
#video #chatGPT #protein
YouTube
Bioinformatics Lectures
Large Language Models
👍4👏1
📃 AI in microbiome-related healthcare
📘 Journal: Microbial Biotechnology (I.F.=4.8)
🗓Publish year: 2024
🧑💻Authors: Niklas Probul, Zihua Huang, Christina Caroline Saak, ,...
🏢Universities: University of Hamburg - Technical University of Munich, Germany
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📲Channel: @Bioinformatics
#review #microbiome #healthcare
📘 Journal: Microbial Biotechnology (I.F.=4.8)
🗓Publish year: 2024
🧑💻Authors: Niklas Probul, Zihua Huang, Christina Caroline Saak, ,...
🏢Universities: University of Hamburg - Technical University of Munich, Germany
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📲Channel: @Bioinformatics
#review #microbiome #healthcare
❤6👍2
🎥How to find Differentially Expressed Genes (DEGs) from RNA-seq Gene Expression Data with R
🎞 Watch
📲Channel: @Bioinformatics
#video #deg #rna_seq #gene #r
🎞 Watch
📲Channel: @Bioinformatics
#video #deg #rna_seq #gene #r
YouTube
How to find Differentially Expressed Genes (DEGs) from RNA-seq Gene Expression Data | R-studio
"Revolutionize your RNA-seq data analysis skills with this ultimate hands-on tutorial! Learn how to create stunning PCA plots, interpret heatmaps, and master the art of differential gene expression analysis using DESeq2—all in R-Studio. This video takes you…
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📄 RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
🗓Publish year: 2024
🧑💻Authors: Danyu Li, Rubing Huang, Chenhui Cui, , ,...
🏢Universities: Macau University of Science and Technology - University of Nottingham Ningbo China - Jiangsu University, China
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📲Channel: @Bioinformatics
#review #rna #protein
🗓Publish year: 2024
🧑💻Authors: Danyu Li, Rubing Huang, Chenhui Cui, , ,...
🏢Universities: Macau University of Science and Technology - University of Nottingham Ningbo China - Jiangsu University, China
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📲Channel: @Bioinformatics
#review #rna #protein
👍4❤1👏1🤔1
📃 Deep Learning in Proteomics Informatics: Applications, Challenges, and Future Directions
🗓Publish year: 2024
🧑💻Authors: Yindan Luo & Jiaxin Cai
🏢Universities: Xiamen University of Technology, China
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📲Channel: @Bioinformatics
#review #deep #proteomics
🗓Publish year: 2024
🧑💻Authors: Yindan Luo & Jiaxin Cai
🏢Universities: Xiamen University of Technology, China
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📲Channel: @Bioinformatics
#review #deep #proteomics