🎓Modeling protein sequences, structures and functions with deep neural networks
📕PhD Thesis from University of Illinois at Urbana-Champaign
🗓Publish year: 2023
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #deep_learning #protein
📕PhD Thesis from University of Illinois at Urbana-Champaign
🗓Publish year: 2023
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #deep_learning #protein
👍12❤1
📃 Computational prediction of disordered binding regions
📘Journal: Computational and Structural Biotechnology Journal (I.F.=6)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #biniding
📘Journal: Computational and Structural Biotechnology Journal (I.F.=6)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #biniding
👍8❤1
This media is not supported in your browser
VIEW IN TELEGRAM
🚀 International GROMACS Workshop: Post MD Analysis Methods & Tools on Feb 17-18, 2024!
📅 Key Dates:
Early Bird Deadline: Feb 10, 2024 (€25 / ₹1500)
Registration Ends: Feb 15, 2024 (€30 / ₹2000)
🌟 Highlights:
MD Techniques
MM-GPSA & MM-PBSA
Principal Component Analysis
Demos & More
💡 Benefits:
Certificate
Recorded Videos
Live Support
💼 For those with basic GROMACS experience.
💫 Register now at our site: https://www.nyberman.com
Stay connected:
🔵 LinkedIn rb.gy/2v5tt
💬 WhatsApp: rb.gy/yi2dmw
👍 Facebook: rb.gy/y5gks
📸 Instagram: rb.gy/ascjm
📣 Discussion Forum: rb.gy/w7i17
📲Channel: @Bioinformatics
📅 Key Dates:
Early Bird Deadline: Feb 10, 2024 (€25 / ₹1500)
Registration Ends: Feb 15, 2024 (€30 / ₹2000)
🌟 Highlights:
MD Techniques
MM-GPSA & MM-PBSA
Principal Component Analysis
Demos & More
💡 Benefits:
Certificate
Recorded Videos
Live Support
💼 For those with basic GROMACS experience.
💫 Register now at our site: https://www.nyberman.com
Stay connected:
🔵 LinkedIn rb.gy/2v5tt
💬 WhatsApp: rb.gy/yi2dmw
👍 Facebook: rb.gy/y5gks
📸 Instagram: rb.gy/ascjm
📣 Discussion Forum: rb.gy/w7i17
📲Channel: @Bioinformatics
👍8❤3
🗞ChatGPT in healthcare: A taxonomy and systematic review
📗 Journal: Computer Methods and Programs in Biomedicine (I.F.=6.1)
🗓Publish year: 2024
📎 Study
📲Channel: @Bioinformatics
#review #chatgpt #healthcare
📗 Journal: Computer Methods and Programs in Biomedicine (I.F.=6.1)
🗓Publish year: 2024
📎 Study
📲Channel: @Bioinformatics
#review #chatgpt #healthcare
👍6
📄 Applications of deep learning in understanding gene regulation
📔 Journal: Cell Reports Methods (I.F.=3.8)
🗓 Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #gene
📔 Journal: Cell Reports Methods (I.F.=3.8)
🗓 Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #gene
👍7
🧑🏼💻 Rational Drug Discovery
💥 Virtual Workshop from National Institute of Cancer
▫️Session 1 - Artificial Intelligence in Drug Discovery
▫️Session 2 - Use of Data Science and AI for Target Selection in Oncology
▫️Session 3- Structural Biology
▫️Session 4- In situ Computational Microscopy
📲Channel: @Bioinformatics
#video #drug #ai #cancer
💥 Virtual Workshop from National Institute of Cancer
▫️Session 1 - Artificial Intelligence in Drug Discovery
▫️Session 2 - Use of Data Science and AI for Target Selection in Oncology
▫️Session 3- Structural Biology
▫️Session 4- In situ Computational Microscopy
📲Channel: @Bioinformatics
#video #drug #ai #cancer
👍9❤6👌2💯2👏1
📃 Databases and prospects of dynamic gene regulation in eukaryotes: A mini review
📘 Journal: Computational and Structural Biotechnology Journal (I.F.=6)
🗓 Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene
📘 Journal: Computational and Structural Biotechnology Journal (I.F.=6)
🗓 Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene
👍7
🧑💻ChatGPT may help bioinformaticians in programming
🌐 Study the technical doc
📲Channel: @Bioinformatics
#chatgpt #r
🌐 Study the technical doc
📲Channel: @Bioinformatics
#chatgpt #r
👍11👏2👌2
📹 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…
👍7❤2👏1👌1
📄 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
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #drug
📓 Journal: International Journal of Molecular Sciences (I.F.=5.6)
🗓 Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #drug
👍5
📑 Large language models in bioinformatics: applications and perspectives
📕 arXiv preprint
🗓 Publish year: 2024
📎 Study the paper
📲Channel: @Bioinformatics
#review #genomics #transcriptomics #proteomics #drug_discovery #single_cell_analysis
📕 arXiv preprint
🗓 Publish year: 2024
📎 Study the paper
📲Channel: @Bioinformatics
#review #genomics #transcriptomics #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
🔹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
Telegram -https://t.iss.one/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
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads-www.threads.net/@decode_life_bioinfo
Telegram -https://t.iss.one/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
📎 Study the paper
📲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
📎 Study the paper
📲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
📎 Study the paper
📲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
📎 Study the paper
📲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
📎 Study the paper
📲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
📎 Study the paper
📲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