📄 Advances of Deep Learning in Protein Science: A Comprehensive Survey
🗓 Publish year: 2024
🧑💻Authors: Bozhen Hu, Cheng Tan, Lirong Wu, ...
🏢University: Zhejiang University, Westlake University, China
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📲Channel: @Bioinformatics
#review #protein #deep_learning
🗓 Publish year: 2024
🧑💻Authors: Bozhen Hu, Cheng Tan, Lirong Wu, ...
🏢University: Zhejiang University, Westlake University, China
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📲Channel: @Bioinformatics
#review #protein #deep_learning
👍9
📃Temporal progress of gene expression analysis with RNA-Seq data: A review on the relationship between computational methods
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
🏢University: Federal University of Paraná, University of São Paulo, Universidade Tecnológica Federal do Paraná – UTFPR, Brzil
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📲Channel: @Bioinformatics
#review #rna_seq #gene_expression
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
🏢University: Federal University of Paraná, University of São Paulo, Universidade Tecnológica Federal do Paraná – UTFPR, Brzil
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📲Channel: @Bioinformatics
#review #rna_seq #gene_expression
👍7❤1
🎥 Analysis and Visualization of Protein-Ligand Interactions
🎞 Watch
📲Channel: @Bioinformatics
#video #protein #ligand
🎞 Watch
📲Channel: @Bioinformatics
#video #protein #ligand
YouTube
Analysis and Visualization of Protein-Ligand Interactions with PYMOL and PLIP
Welcome to Bioinformatics Insights. In this video, we will learn, How to analyze all types of protein-ligand interactions. I will also train you, How to visualize protein-ligand interactions using PYMOL. After watching this video, you will be able to analyze…
👍12
📄 Application of Deep Learning on Single-Cell RNA Sequencing Data Analysis: A Review
📘Journal: Genomics, Proteomics and Bioinformatics (I.F.= 9.5)
🗓 Publish year: 2022
🧑💻Authors: Matthew Brendel, Chang Su, Zilong Bai, ...
🏢University: Cornell University - Temple University, USA
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📲Channel: @Bioinformatics
#review #deep_learning #single_cell #rna
📘Journal: Genomics, Proteomics and Bioinformatics (I.F.= 9.5)
🗓 Publish year: 2022
🧑💻Authors: Matthew Brendel, Chang Su, Zilong Bai, ...
🏢University: Cornell University - Temple University, USA
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📲Channel: @Bioinformatics
#review #deep_learning #single_cell #rna
👍8❤3👏1💯1
📃 Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
🗓 Publish year: 2024
🧑💻Authors: Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, ...
🏢University: Renmin University of China, University of Science and Technology of China, Microsoft Research
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📦 Related sources and contents
📲Channel: @Bioinformatics
#review #nlp #biomolecule #protein
🗓 Publish year: 2024
🧑💻Authors: Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, ...
🏢University: Renmin University of China, University of Science and Technology of China, Microsoft Research
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📦 Related sources and contents
📲Channel: @Bioinformatics
#review #nlp #biomolecule #protein
👍4❤2👌1
📑 Ten simple rules for designing graphical abstracts
📕Journal: Plos Computational Biology (I.F.=4.3)
🗓Publish year: 2024
🧑💻Authors: Helena Klara Jambor ,Martin Bornhäuser
🏢University: Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Germany
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📲Channel: @Bioinformatics
#graphical_abstract
📕Journal: Plos Computational Biology (I.F.=4.3)
🗓Publish year: 2024
🧑💻Authors: Helena Klara Jambor ,Martin Bornhäuser
🏢University: Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Germany
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📲Channel: @Bioinformatics
#graphical_abstract
👍6❤3🙏3👌1
📑 Explainable artificial intelligence for omics data: a systematic mapping study
📗Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓Publish year: 2024
🧑💻Authors: Philipp A Toussaint, Florian Leiser, Scott Thiebes, ...
🏢University: Department of Economics and Management - University of Augsburg , Germany
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📲Channel: @Bioinformatics
#review #explainable #ai #omics
📗Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓Publish year: 2024
🧑💻Authors: Philipp A Toussaint, Florian Leiser, Scott Thiebes, ...
🏢University: Department of Economics and Management - University of Augsburg , Germany
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📲Channel: @Bioinformatics
#review #explainable #ai #omics
👍4❤2
📃 Recent Advances in Generative Adversarial Networks for Gene Expression Data: A Comprehensive Review
📗Journal: Mathematics (I.F.=2.4)
🗓Publish year: 2023
🧑💻Authors: Minhyeok Lee
🏢University: Chung-Ang University, Republic of Korea
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📲Channel: @Bioinformatics
#review #GAN #gene_expression
📗Journal: Mathematics (I.F.=2.4)
🗓Publish year: 2023
🧑💻Authors: Minhyeok Lee
🏢University: Chung-Ang University, Republic of Korea
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📲Channel: @Bioinformatics
#review #GAN #gene_expression
👍7🤔1