📃A scoping review of artificial intelligence in medical education
📓Journal: Medical Teacher (I.F.=3.3)
🗓Publish year: 2023https://www.tandfonline.com/cms/asset/a9d6ec36-e95f-4c77-92d2-6fecbc71e790/imte_a_2314198_f0002b_c.jpg
🧑💻Authors: Morris Gordon, Michelle Daniel, Aderonke Ajiboye, ...
🏢University: University of Central Lancashire, UK - University of California, USA
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📲Channel: @Bioinformatics
#review #education #medical #ai
📓Journal: Medical Teacher (I.F.=3.3)
🗓Publish year: 2023https://www.tandfonline.com/cms/asset/a9d6ec36-e95f-4c77-92d2-6fecbc71e790/imte_a_2314198_f0002b_c.jpg
🧑💻Authors: Morris Gordon, Michelle Daniel, Aderonke Ajiboye, ...
🏢University: University of Central Lancashire, UK - University of California, USA
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📲Channel: @Bioinformatics
#review #education #medical #ai
👍3
📄 Recent advances in the characterization of essential genes and development of a database of essential genes
📘Journal: iMeta (🔥I.F.=23.7)
🗓Publish year: 2024
🧑💻Authors: Ya-Ting Liang, Hao Luo, Yan Lin, Feng Gao
🏢University: Tianjin University, China
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📲Channel: @Bioinformatics
#review #gene #essentiality #database
📘Journal: iMeta (🔥I.F.=23.7)
🗓Publish year: 2024
🧑💻Authors: Ya-Ting Liang, Hao Luo, Yan Lin, Feng Gao
🏢University: Tianjin University, China
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📲Channel: @Bioinformatics
#review #gene #essentiality #database
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📃Databases and computational methods for the identification of piRNA-related molecules: A survey
📕Journal: Computational and Structural Biotechnology Journal (I.F.=4.4)
🗓Publish year: 2024
🧑💻Authors: Chang Guo, Xiaoli Wang, Han Ren
🏢University: Guangdong University of Foreign Studies, Huazhong University of Science and Technology, China
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📲Channel: @Bioinformatics
#review @piRNA
📕Journal: Computational and Structural Biotechnology Journal (I.F.=4.4)
🗓Publish year: 2024
🧑💻Authors: Chang Guo, Xiaoli Wang, Han Ren
🏢University: Guangdong University of Foreign Studies, Huazhong University of Science and Technology, China
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📲Channel: @Bioinformatics
#review @piRNA
👍5❤3
🎓New graph learning approaches for exploring gene and protein function
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
👍9❤2
📑Computational Approaches to Predict Protein–Protein Interactions in Crowded Cellular Environments
📔Journal: Chemical Reviews (🔥I.F.=51.4)
🗓Publish year: 2024
🧑💻Authors:Greta Grassmann, Mattia Miotto, Fausta Desantis, ...
🏢University: Sapienza University of Rome - Istituto Italiano di Tecnologia, Italy
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📲Channel: @Bioinformatics
#review #ppi #protein #prediction
📔Journal: Chemical Reviews (🔥I.F.=51.4)
🗓Publish year: 2024
🧑💻Authors:Greta Grassmann, Mattia Miotto, Fausta Desantis, ...
🏢University: Sapienza University of Rome - Istituto Italiano di Tecnologia, Italy
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📲Channel: @Bioinformatics
#review #ppi #protein #prediction
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🎬Recorded webinar:
💥Using NGS for MicroRNA and Gene Expression Analysis with Integrated Bioinformatics for Pathway Discovery and Biomarker Verification
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📲Channel: @Bioinformatics
#NGS #microRNA #Gene_Expression
💥Using NGS for MicroRNA and Gene Expression Analysis with Integrated Bioinformatics for Pathway Discovery and Biomarker Verification
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📲Channel: @Bioinformatics
#NGS #microRNA #Gene_Expression
YouTube
Using NGS for MicroRNA and Gene Expression Analysis with Integrated Bioinformatics for Pathway...
Presented By: Samuel Rulli, PhD
Speaker Biography: Samuel Rulli is a Senior Global Product Manager for the QIAseq RNA Profiling Technologies at QIAGEN. Dr. Rulli received his Ph.D. in 2002 from Tulane University studying the gastric proton pump and did post…
Speaker Biography: Samuel Rulli is a Senior Global Product Manager for the QIAseq RNA Profiling Technologies at QIAGEN. Dr. Rulli received his Ph.D. in 2002 from Tulane University studying the gastric proton pump and did post…
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📑 Common Methods for Phylogenetic Tree Construction and Their Implementation in R
📕Journal: Bioengineering (I.F.=3.8)
🗓Publish year: 2024
🧑💻Authors: Yue Zou,Zixuan Zhang,Yujie Zeng, ...
🏢University: Chongqing Normal University - Chongqing Academy of Animal Science, China
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📲Channel: @Bioinformatics
#review #phylogenetic #r
📕Journal: Bioengineering (I.F.=3.8)
🗓Publish year: 2024
🧑💻Authors: Yue Zou,Zixuan Zhang,Yujie Zeng, ...
🏢University: Chongqing Normal University - Chongqing Academy of Animal Science, China
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📲Channel: @Bioinformatics
#review #phylogenetic #r
❤9👏2🙏2👌1
📃Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery
📓Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2023
🧑💻Authors: Kengo Sato, Michiaki Hamada
🏢University: Tokyo Denki University - Waseda University, Japan
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📲Channel: @Bioinformatics
#review #rna #ml #deep_learning
📓Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2023
🧑💻Authors: Kengo Sato, Michiaki Hamada
🏢University: Tokyo Denki University - Waseda University, Japan
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📲Channel: @Bioinformatics
#review #rna #ml #deep_learning
👍5❤3👌1
📑 Advances in machine-learning approaches to RNA-targeted drug design
📘Journal: Artificial Intelligence Chemistry
🗓 Publish year: 2024
🧑💻Authors: Yuanzhe Zhou, Shi-Jie Chen
🏢Universities: University of Missouri, USA
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📲Channel: @Bioinformatics
#review #rna #drug
📘Journal: Artificial Intelligence Chemistry
🗓 Publish year: 2024
🧑💻Authors: Yuanzhe Zhou, Shi-Jie Chen
🏢Universities: University of Missouri, USA
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📲Channel: @Bioinformatics
#review #rna #drug
👍3❤2
📄 Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions
📗 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2021
🧑💻Authors: Ashwin Dhakal, Cole McKay, John J Tanner, Jianlin Cheng
🏢Universities: University of Missouri, USA
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📲Channel: @Bioinformatics
#review #protein #ligand
📗 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2021
🧑💻Authors: Ashwin Dhakal, Cole McKay, John J Tanner, Jianlin Cheng
🏢Universities: University of Missouri, USA
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📲Channel: @Bioinformatics
#review #protein #ligand
❤9👍6
📃Deep learning models for disease-associated circRNA prediction: a review
📔 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2022
🧑💻Authors: Yaojia Chen, Jiacheng Wang, Chuyu Wang, ...
🏢Universities: University of Electronic Science and Technology of China - Harbin Institute of Technology - Guangdong Ocean University, China
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📲Channel: @Bioinformatics
#review #deep_learning #circRNA
📔 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2022
🧑💻Authors: Yaojia Chen, Jiacheng Wang, Chuyu Wang, ...
🏢Universities: University of Electronic Science and Technology of China - Harbin Institute of Technology - Guangdong Ocean University, China
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📲Channel: @Bioinformatics
#review #deep_learning #circRNA
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Forwarded from Network Analysis Resources & Updates
📃Recent advances in network-based methods for disease gene prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
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📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
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📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
👍8❤2👏1
🎥 Interview with the Bioinformagician: Bioinformatics FAQ
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📲Channel: @Bioinformatics
#video #faq #interview
🎞 Watch
📲Channel: @Bioinformatics
#video #faq #interview
YouTube
Bioinformatics FAQ: Interview with the Bioinformagician
- Bioinformatics versus biological data science.
- 3 major approaches to bioinformatics: data analysis, software development, and modeling.
- An overview of how people from different fields are coming into bioinformatics from biology, computer science,…
- 3 major approaches to bioinformatics: data analysis, software development, and modeling.
- An overview of how people from different fields are coming into bioinformatics from biology, computer science,…
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