📹 Graph Neural Networks in Computational Biology
💥Recorded webinar from Imperial College Computational Biology Society
🎞 Watch
📲Channel: @Bioinformatics
#video #gnn
💥Recorded webinar from Imperial College Computational Biology Society
🎞 Watch
📲Channel: @Bioinformatics
#video #gnn
YouTube
Graph Neural Networks in Computational Biology: A Personal Perspective - Petar Veličković
Title: Graph Neural Networks in Computational Biology: A Personal Perspective
Abstract:
Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the…
Abstract:
Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the…
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📄 A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation
📓 Journal: International Journal of Molecular Sciences (I.F.=5.6)
🗓 Publish year: 2023
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📲Channel: @Bioinformatics
#review #deep_learning #drug
📓 Journal: International Journal of Molecular Sciences (I.F.=5.6)
🗓 Publish year: 2023
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📲Channel: @Bioinformatics
#review #deep_learning #drug
👍5
📑 Large language models in bioinformatics: applications and perspectives
📕 arXiv preprint
🗓 Publish year: 2024
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📲Channel: @Bioinformatics
#review #genomics #trannoscriptomics #proteomics #drug_discovery #single_cell_analysis
📕 arXiv preprint
🗓 Publish year: 2024
📎 Study the paper
📲Channel: @Bioinformatics
#review #genomics #trannoscriptomics #proteomics #drug_discovery #single_cell_analysis
👍6
📃 Deep learning methods for drug response prediction in cancer: Predominant and emerging trends
📔 Journal: International Journal of Molecular Sciences (I.F.=5.6)
🗓 Publish year: 2023
🧑💻Authors: Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens
🏢Universities: Argonne National Laboratory and The University of Chicago, IL, United States
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #drug #cancer
📔 Journal: International Journal of Molecular Sciences (I.F.=5.6)
🗓 Publish year: 2023
🧑💻Authors: Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens
🏢Universities: Argonne National Laboratory and The University of Chicago, IL, United States
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #drug #cancer
🔥2👏1
👨🏫 Registration is open for One month International Bioinformatics Workshop by Decode Life
💥 Data Science and Machine learning - with Python, 8th Edition 2024 💥
🗓 Duration: 10 February - 7 March, 2024
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️ 22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗 Connect our network - https://www.linkedin.com/company/decode-life
🔻Please subscribe
🔹Facebook– www.facebook.com/decodelifebio
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Telegram -https://news.1rj.ru/str/decodelifesciences
Decodelife discord server - https://discord.com/invite/BFtJ8RG5
📲Channel: @Bioinformatics
💥 Data Science and Machine learning - with Python, 8th Edition 2024 💥
🗓 Duration: 10 February - 7 March, 2024
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️ 22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗 Connect our network - https://www.linkedin.com/company/decode-life
🔻Please subscribe
🔹Facebook– www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
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🔹Threads-www.threads.net/@decode_life_bioinfo
Telegram -https://news.1rj.ru/str/decodelifesciences
Decodelife discord server - https://discord.com/invite/BFtJ8RG5
📲Channel: @Bioinformatics
👍5👌1
📃 A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data
📔 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2021
🧑💻Authors: Hung Nguyen, Duc Tran, Bang Tran, Bahadir Pehlivan, Tin Nguyen
🏢Universities: Department of Computer Science and Engineering, University of Nevada, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #grn #single_cell
📔 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2021
🧑💻Authors: Hung Nguyen, Duc Tran, Bang Tran, Bahadir Pehlivan, Tin Nguyen
🏢Universities: Department of Computer Science and Engineering, University of Nevada, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #grn #single_cell
👍4
Forwarded from Network Analysis Resources & Updates
📃 A Review of Link Prediction Applications in Network Biology
🗓 Publish year: 2023
🧑💻Authors: Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh
🏢Universities: Virginia Commonwealth University, University of Alabama in Huntsville
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #Network_Biology #Link_Prediction
🗓 Publish year: 2023
🧑💻Authors: Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh
🏢Universities: Virginia Commonwealth University, University of Alabama in Huntsville
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📲Channel: @ComplexNetworkAnalysis
#review #Network_Biology #Link_Prediction
👍3
📑 From pixels to insights: Machine learning and deep learning for bioimage analysis
📕 Journal: BioEssays (I.F.=4)
🗓 Publish year: 2023
🧑💻Authors: Mahta Jan, Allie Spangaro, Michelle Lenartowicz, Mojca Mattiazzi Usaj
🏢University: Department of Chemistry and Biology, Toronto Metropolitan University, Canada
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📲Channel: @Bioinformatics
#review #bioimage #ml #deep_learning
📕 Journal: BioEssays (I.F.=4)
🗓 Publish year: 2023
🧑💻Authors: Mahta Jan, Allie Spangaro, Michelle Lenartowicz, Mojca Mattiazzi Usaj
🏢University: Department of Chemistry and Biology, Toronto Metropolitan University, Canada
📎 Study the paper
📲Channel: @Bioinformatics
#review #bioimage #ml #deep_learning
👍7
📄 A comprehensive review on knowledge graphs for complex diseases
📘 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2023
🧑💻Authors: Yang Yang, Yuwei Lu, Wenying Yan
🏢University: Soochow University, Suzhou, China
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📲Channel: @Bioinformatics
#review #knowledge_graph #diease
📘 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2023
🧑💻Authors: Yang Yang, Yuwei Lu, Wenying Yan
🏢University: Soochow University, Suzhou, China
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📲Channel: @Bioinformatics
#review #knowledge_graph #diease
👍4
📃Opportunities and challenges for ChatGPT and large language models in biomedicine and health
📗 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2024
🧑💻Authors: Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, ...
🏢Universities: National Library of Medicine, National Institutes of Health, USA
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📲Channel: @Bioinformatics
#chatgpt #biomedicine #health
📗 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2024
🧑💻Authors: Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, ...
🏢Universities: National Library of Medicine, National Institutes of Health, USA
📎 Study the paper
📲Channel: @Bioinformatics
#chatgpt #biomedicine #health
👏3❤1👍1
📑 Drug–drug interaction prediction: databases, web servers and computational models
📙 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2024
🧑💻Authors: Yan Zhao, Jun Yin, Li Zhang, Yong Zhang, Xing Chen
🏢Universities: China University of Mining and Technology, and Jiangnan University, China
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📲Channel: @Bioinformatics
#review #drug #database
📙 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2024
🧑💻Authors: Yan Zhao, Jun Yin, Li Zhang, Yong Zhang, Xing Chen
🏢Universities: China University of Mining and Technology, and Jiangnan University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #database
👍2❤1👏1
📃 A Clinician’s Guide to Bioinformatics for Next-Generation Sequencing
📕Journal: Journal of Thoracic Oncology (I.F.=20.4)
🗓 Publish year: 2023
🧑💻Authors: Nicholas Bradley Larson, Ann L. Oberg, Alex A. Adjei MD, Liguo Wang
🏢Universities: Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA
Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #ngs #cancer
📕Journal: Journal of Thoracic Oncology (I.F.=20.4)
🗓 Publish year: 2023
🧑💻Authors: Nicholas Bradley Larson, Ann L. Oberg, Alex A. Adjei MD, Liguo Wang
🏢Universities: Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA
Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA
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📲Channel: @Bioinformatics
#review #ngs #cancer
👍4❤3
📑 Computational Pathology: A Survey Review and The Way Forward
📘Journal: Journal of Pathology Informatics
🗓 Publish year: 2024
🧑💻Authors: Mahdi S. Hosseini a, Babak Ehteshami Bejnordi b 1, Vincent Quoc-Huy Trinh c, ... (21 authors)
🏢Universities: Concordia Univeristy, Canada - Qualcomm AI Research, Netherlands - ...
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📲Channel: @Bioinformatics
#review #pathology
📘Journal: Journal of Pathology Informatics
🗓 Publish year: 2024
🧑💻Authors: Mahdi S. Hosseini a, Babak Ehteshami Bejnordi b 1, Vincent Quoc-Huy Trinh c, ... (21 authors)
🏢Universities: Concordia Univeristy, Canada - Qualcomm AI Research, Netherlands - ...
📎 Study the paper
📲Channel: @Bioinformatics
#review #pathology
👍1👏1
📃 A review and comparative study of cancer detection using machine learning
📘Journal: BMC Bioinformatics (I.F.=3)
🗓 Publish year: 2023
🧑💻Authors: Mpho Mokoatle, Vukosi Marivate, Darlington Mapiye, Riana Bornman & Vanessa. M. Hayes
🏢Universities: University of Pretoria, South Africa - CapeBio TM Technologies, Centurion, South Africa
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📲Channel: @Bioinformatics
#review #machine_learning #cancer
📘Journal: BMC Bioinformatics (I.F.=3)
🗓 Publish year: 2023
🧑💻Authors: Mpho Mokoatle, Vukosi Marivate, Darlington Mapiye, Riana Bornman & Vanessa. M. Hayes
🏢Universities: University of Pretoria, South Africa - CapeBio TM Technologies, Centurion, South Africa
📎 Study the paper
📲Channel: @Bioinformatics
#review #machine_learning #cancer
👏1
📄 Machine learning and artificial intelligence in neuroscience: A primer for researchers
📘Journal: Brain, Behavior, and Immunity (I.F.=15.1)
🗓 Publish year: 2024
🧑💻Authors: Fakhirah Badrulhisham, Esther Pogatzki-Zahn, Daniel Segelcke, Tamas Spisak, Jan Vollert
🏢Universities:
- Royal Devon and Exeter Hospital NHS Trust, Exeter, United Kingdom
- Department of Anaesthesiology, University Hospital Muenster, Germany
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, United Kingdom
📎 Study the paper
📲Channel: @Bioinformatics
#review #ml #ai #neuroscience
📘Journal: Brain, Behavior, and Immunity (I.F.=15.1)
🗓 Publish year: 2024
🧑💻Authors: Fakhirah Badrulhisham, Esther Pogatzki-Zahn, Daniel Segelcke, Tamas Spisak, Jan Vollert
🏢Universities:
- Royal Devon and Exeter Hospital NHS Trust, Exeter, United Kingdom
- Department of Anaesthesiology, University Hospital Muenster, Germany
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, United Kingdom
📎 Study the paper
📲Channel: @Bioinformatics
#review #ml #ai #neuroscience
👍4❤1
📑 Cardioinformatics: the nexus of bioinformatics and precision cardiology
📙 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2020
🧑💻Authors: Bohdan B Khomtchouk, Diem-Trang Tran, Kasra A Vand, Matthew Might, Or Gozani, Themistocles L Assimes
🏢Universities: Stanford University, USA - University of Alabama at Birmingham, USA - Quiltomics, Palo Alto, CA, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #cardiology #precision
📙 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2020
🧑💻Authors: Bohdan B Khomtchouk, Diem-Trang Tran, Kasra A Vand, Matthew Might, Or Gozani, Themistocles L Assimes
🏢Universities: Stanford University, USA - University of Alabama at Birmingham, USA - Quiltomics, Palo Alto, CA, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #cardiology #precision
👍4
👨🏫 Last 2 days to Register - for One month International Bioinformatics Workshop by Decode Life.
💥 Data Science and Machine learning - with Python, 8th Edition 2024 💥
🗓 Duration: 10 February - 7 March, 2024
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗 Connect with us for meaningful networking - https://www.linkedin.com/company/decode-life
🔻Please subscribe-
🔹Facebook– www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads -www.threads.net/@decode_life_bioinfo
Decodelife discord server - https://discord.gg/8B9CXCZs
📲Channel: @Bioinformatics
💥 Data Science and Machine learning - with Python, 8th Edition 2024 💥
🗓 Duration: 10 February - 7 March, 2024
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗 Connect with us for meaningful networking - https://www.linkedin.com/company/decode-life
🔻Please subscribe-
🔹Facebook– www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads -www.threads.net/@decode_life_bioinfo
Decodelife discord server - https://discord.gg/8B9CXCZs
📲Channel: @Bioinformatics
👍6❤2