📄A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
📕 Journal: BMC Bioinformatics (I.F.=3)
🗓Publish year: 2023
🧑💻Authors: Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, ...
🏢University: University of Manchester, UK - National University of Sciences, Switzerland
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #deep_learning
📕 Journal: BMC Bioinformatics (I.F.=3)
🗓Publish year: 2023
🧑💻Authors: Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, ...
🏢University: University of Manchester, UK - National University of Sciences, Switzerland
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #deep_learning
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🔊 Growing bioinformatics capacity in Africa
💥Nature Podcast
🎧 Listen
🌐 Read
📲Channel: @Bioinformatics
#podcast #Africa
💥Nature Podcast
🎧 Listen
🌐 Read
📲Channel: @Bioinformatics
#podcast #Africa
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🎥 Proteomics for Clinical Biomarkers
💥 From Biotechnology Department at University of the Western Cape
🎞 Watch
📦 Slides
📲Channel: @Bioinformatics
#video #proteomics #biomarker
💥 From Biotechnology Department at University of the Western Cape
🎞 Watch
📦 Slides
📲Channel: @Bioinformatics
#video #proteomics #biomarker
YouTube
20230821 Proteomics for Clinical Biomarkers
Slides for this talk can be downloaded here: https://drive.google.com/file/d/1ILhlG1Ksq1kq1iQnmQBdNcTHVqC_j1Tz/view?usp=sharing
As part of the B.Sc. Honours program at the Biotechnology Department at University of the Western Cape, I edited this lecture…
As part of the B.Sc. Honours program at the Biotechnology Department at University of the Western Cape, I edited this lecture…
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📃 Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review
📘Journal: Computational and Structural Biotechnology Journal (CSBJ) (I.F.=6)
🗓Publish year: 2024
🧑💻Authors: Diletta Rosati, Maria Palmieri, Giulia Brunelli, ...
🏢University: University of Siena, Italy - Temple University, USA
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📲Channel: @Bioinformatics
#review #gene_expression #differential #biomarker
📘Journal: Computational and Structural Biotechnology Journal (CSBJ) (I.F.=6)
🗓Publish year: 2024
🧑💻Authors: Diletta Rosati, Maria Palmieri, Giulia Brunelli, ...
🏢University: University of Siena, Italy - Temple University, USA
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📲Channel: @Bioinformatics
#review #gene_expression #differential #biomarker
👍8❤4👏1
📑Machine Learning Techniques for Predicting Drug-Related Side Effects: A Scoping Review
📗Journal: Pharmaceuticals (I.F.=4.3)
🗓Publish year: 2024
🧑💻Authors: Esmaeel Toni,Haleh Ayatollahi,Reza Abbaszadeh, ...
🏢University: Iran University of Medical Sciences, Institute of Biochemistry and Biophysics (IBB) at University of Tehran, Iran
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📲Channel: @Bioinformatics
#review #drug #side_effect
📗Journal: Pharmaceuticals (I.F.=4.3)
🗓Publish year: 2024
🧑💻Authors: Esmaeel Toni,Haleh Ayatollahi,Reza Abbaszadeh, ...
🏢University: Iran University of Medical Sciences, Institute of Biochemistry and Biophysics (IBB) at University of Tehran, Iran
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📲Channel: @Bioinformatics
#review #drug #side_effect
👍6🔥1👌1
Forwarded from Network Analysis Resources & Updates
📃Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
🗓 Publish year: 2023
📘Journal: Journal of Big Data
🧑💻Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
🏢Universities: The University of Jordan, Amman, Jordan
King Saud University, Riyadh, Saudi Arabia
Al-Balqa Applied University, Salt, Jordan
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review
🗓 Publish year: 2023
📘Journal: Journal of Big Data
🧑💻Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
🏢Universities: The University of Jordan, Amman, Jordan
King Saud University, Riyadh, Saudi Arabia
Al-Balqa Applied University, Salt, Jordan
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review
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👨💻 PhD fellowship in Bioinformatics/Data Science/Machine Learning
🏢 at Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen
👨🏫Principal supervisor
Albert J. Kooistra, Associate Professor
📬Email:
albert.kooistra@sund.ku.dk
📞phone:
+45 35 32 83 05
▫️Start: 1 October 2024
▫️Duration: 3 years as a PhD student
💣 Deadline: 21 July 2024, 23.59pm CET
🌐 More Details
📲Channel: @Bioinformatics
#job
🏢 at Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen
👨🏫Principal supervisor
Albert J. Kooistra, Associate Professor
📬Email:
albert.kooistra@sund.ku.dk
📞phone:
+45 35 32 83 05
▫️Start: 1 October 2024
▫️Duration: 3 years as a PhD student
💣 Deadline: 21 July 2024, 23.59pm CET
🌐 More Details
📲Channel: @Bioinformatics
#job
employment.ku.dk
PhD-positions
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📄 A review of the current state of single-cell proteomics and future perspective
📕Journal: Analytical and Bioanalytical Chemistry (I.F.=4.3)
🗓Publish year: 2023
🧑💻Authors: Rushdy Ahmad & Bogdan Budnik
🏢University: Harvard University, USA
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📲Channel: @Bioinformatics
#review #single_cell #proteomics
📕Journal: Analytical and Bioanalytical Chemistry (I.F.=4.3)
🗓Publish year: 2023
🧑💻Authors: Rushdy Ahmad & Bogdan Budnik
🏢University: Harvard University, USA
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📲Channel: @Bioinformatics
#review #single_cell #proteomics
📹 AI in Target Identification and Drug Discovery: Transforming the Future of Medicine
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #drug
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #drug
YouTube
DataBytes | AI in Target Identification and Drug Discovery: Transforming the Future of Medicine
Artificial intelligence (Al) is taking a transformative role in target identification and drug discovery. Today, Al algorithms can analyze vast, multi-modal datasets to identify drug targets, accelerate lead compound discovery, and optimize drug design. Al…
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📄 Integrative computational approaches for discovery and evaluation of lead compound for drug design
📗Journal: Frontiers in Drug Discovery
🗓Publish year: 2024
🧑💻Authors: Utkarsha Naithani & Vandana Guleria
🏢University: Shoolini University, India
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📲Channel: @Bioinformatics
#review #drug
📗Journal: Frontiers in Drug Discovery
🗓Publish year: 2024
🧑💻Authors: Utkarsha Naithani & Vandana Guleria
🏢University: Shoolini University, India
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📲Channel: @Bioinformatics
#review #drug
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📃 Advances in the Applications of Bioinformatics and Chemoinformatics
📔Journal: Pharmaceuticals (I.F.=4.3)
🗓Publish year: 2023
🧑💻Authors: Mohamed A. Raslan,Sara A. Raslan,Eslam M. Shehata, ...
🏢University: Ain Shams University, Egypt
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📲Channel: @Bioinformatics
#review #drug #Chemoinformatics
📔Journal: Pharmaceuticals (I.F.=4.3)
🗓Publish year: 2023
🧑💻Authors: Mohamed A. Raslan,Sara A. Raslan,Eslam M. Shehata, ...
🏢University: Ain Shams University, Egypt
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📲Channel: @Bioinformatics
#review #drug #Chemoinformatics
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📑Applications of multi-omics analysis in human diseases
📓Journal: MedComm (I.F.=10.7)
🗓Publish year: 2023
🧑💻Authors: Chongyang Chen, Jing Wang, Donghui Pan, ...
🏢University: Jiangsu Institute of Nuclear Medicine, Shenzhen Center for Disease Control and Prevention, China
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📲Channel: @Bioinformatics
#reveiw #survey #multi_omics #disease
📓Journal: MedComm (I.F.=10.7)
🗓Publish year: 2023
🧑💻Authors: Chongyang Chen, Jing Wang, Donghui Pan, ...
🏢University: Jiangsu Institute of Nuclear Medicine, Shenzhen Center for Disease Control and Prevention, China
📎 Study the paper
📲Channel: @Bioinformatics
#reveiw #survey #multi_omics #disease
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🎥 Supercharging Traditional Bioinformatics Problems with Deep Learning and AI
🎞 Watch
📲Channel: @Bioinformatics
#video #deep_learning #ai
🎞 Watch
📲Channel: @Bioinformatics
#video #deep_learning #ai
YouTube
Enhancing bioinformatics with AI & deep learning | Srayanta Mukherjee | Day 1
Mr. Srayanta Mukherjee (Lead Data Scientist, BCGX-AI ) talks on Super charging traditional bioinformatics problem with deep learning & AI.
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Forwarded from Network Analysis Resources & Updates
📃Knowledge mapping of graph neural networks for drug discovery: a bibliometric and visualized analysis
🗓 Publish year: 2024
📘Journal: Frontiers in Pharmacology (I.F=4.4)
🧑💻Authors: Rufan Yao, Zhenhua Shen, Xinyi Xu, Guixia Ling, Rongwu Xiang, Tingyan Song, Fei Zhai and Yuxuan Zhai
🏢University: Shenyang Pharmaceutical University, Shenyang, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge #mapping #GNN #drug #discovery #visualized
🗓 Publish year: 2024
📘Journal: Frontiers in Pharmacology (I.F=4.4)
🧑💻Authors: Rufan Yao, Zhenhua Shen, Xinyi Xu, Guixia Ling, Rongwu Xiang, Tingyan Song, Fei Zhai and Yuxuan Zhai
🏢University: Shenyang Pharmaceutical University, Shenyang, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge #mapping #GNN #drug #discovery #visualized
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