📃 A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning
📙 Journal: Frontiers in Pharmacology (I.F.=5.6)
🗓Publish year: 2022
📎 Study
📲Channel: @Bioinformatics
#review #drug #machine_learning
📙 Journal: Frontiers in Pharmacology (I.F.=5.6)
🗓Publish year: 2022
📎 Study
📲Channel: @Bioinformatics
#review #drug #machine_learning
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📃 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
📎 Study the paper
📲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
Forwarded from Network Analysis Resources & Updates
🎞 Machine Learning with Graphs: Graph Neural Networks in Computational Biology
💥Free recorded course by Prof. Marinka Zitnik
💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #computational_biology
💥Free recorded course by Prof. Marinka Zitnik
💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #computational_biology
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 18 - GNNs in Computational Biology
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XVImFC
Lecture 18 - Graph Neural Networks in Computational Biology
Jure Leskovec
Computer Science, PhD
We are glad to invite Prof.…
Lecture 18 - Graph Neural Networks in Computational Biology
Jure Leskovec
Computer Science, PhD
We are glad to invite Prof.…
👍5❤1👏1
📃 From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies
📘Journal: Molecular Biotechnology (I.F.=2.6)
🗓Publish year: 2024
🧑💻Authors: Arnab Mukherjee, Suzanna Abraham, Akshita Singh, ...
🏢University: Manipal Institute of Technology, India
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📲Channel: @Bioinformatics
#review #omics #machine_learning
📘Journal: Molecular Biotechnology (I.F.=2.6)
🗓Publish year: 2024
🧑💻Authors: Arnab Mukherjee, Suzanna Abraham, Akshita Singh, ...
🏢University: Manipal Institute of Technology, India
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📲Channel: @Bioinformatics
#review #omics #machine_learning
👍8
📑Employing Machine Learning Techniques to Detect Protein Function: A Survey, Experimental, and Empirical Evaluations
🗓 Publish year: 2024
🧑💻Authors: Kamal Taha
🏢University: Khalifa University, UAE
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📲Channel: @Bioinformatics
#review #protein #machine_learning
🗓 Publish year: 2024
🧑💻Authors: Kamal Taha
🏢University: Khalifa University, UAE
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📲Channel: @Bioinformatics
#review #protein #machine_learning
👍6
📑 Statistical and machine learning methods for cancer research and clinical practice: A systematic review
📗 Journal: Biomedical Signal Processing and Control (I.F.=4.9)
🗓 Publish year: 2024
🧑💻Authors: Laura Lopez-Perez, Eleni Georga, Carlo Conti, ...
🏢Universities:
Universidad Politécnica de Madrid, Spain
University of Ioannina, Greece
University of Milan, Italy
Universitá Campus Biomedico di Roma, Italy
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #machine_learning
📗 Journal: Biomedical Signal Processing and Control (I.F.=4.9)
🗓 Publish year: 2024
🧑💻Authors: Laura Lopez-Perez, Eleni Georga, Carlo Conti, ...
🏢Universities:
Universidad Politécnica de Madrid, Spain
University of Ioannina, Greece
University of Milan, Italy
Universitá Campus Biomedico di Roma, Italy
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #machine_learning
👍4❤2🙏1
🎓Application of Machine Learning in Systems Biology
📕PhD Thesis form Chalmers University of Technology, Sweden
🗓Publish year: 2020
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #machine_learning #systems_biology
📕PhD Thesis form Chalmers University of Technology, Sweden
🗓Publish year: 2020
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #machine_learning #systems_biology
❤8👍2👌1
📃Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review
📘Journal: International Journal of Molecular Sciences (I.F.=4.9)
🗓Publish year: 2023
🧑💻Authors: y Qasem Al-Tashi,Maliazurina B. Saad,Amgad Muneer, ...
🏢University:
The University of Texas, USA
Torrens University Australia, Australia
Yonsei University, Republic of Korea
Obuda University, Hungary
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #machine_learning #biomarker
📘Journal: International Journal of Molecular Sciences (I.F.=4.9)
🗓Publish year: 2023
🧑💻Authors: y Qasem Al-Tashi,Maliazurina B. Saad,Amgad Muneer, ...
🏢University:
The University of Texas, USA
Torrens University Australia, Australia
Yonsei University, Republic of Korea
Obuda University, Hungary
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #machine_learning #biomarker
❤4👍1
👩🏫 Machine Learning and AI in Bioinformatics
💥Texas A&M University
👩💻 Course link
📲Channel: @Bioinformatics
#course #machine_learning #ai
💥Texas A&M University
👩💻 Course link
📲Channel: @Bioinformatics
#course #machine_learning #ai
👍6👏2
📃A scoping review and bibliometric analysis (ScoRBA) of machine learning in genetic data analysis: unveiling the transformative potential
📘 Journal: Rwanda Medical Journal
🗓Publish year: 2024
🧑💻Authors: Wan Nur Amalina Zakaria, Haikal Zahiruddin, ...
🏢Universities: Universiti Teknologi MARA Kelantan, Malaysia - Universitas Indonesia Maju, Indonesia
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📲Channel: @Bioinformatics
#review #machine_learning #genetic
📘 Journal: Rwanda Medical Journal
🗓Publish year: 2024
🧑💻Authors: Wan Nur Amalina Zakaria, Haikal Zahiruddin, ...
🏢Universities: Universiti Teknologi MARA Kelantan, Malaysia - Universitas Indonesia Maju, Indonesia
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📲Channel: @Bioinformatics
#review #machine_learning #genetic
❤5👍1
📑 Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities
📓 Journal: Journal of Cellular and Molecular Medicine (I.F.=4.3)
🗓Publish year: 2025
🧑💻Authors: Hao Zhang, Chaohuan Lin, Ying'ao Chen, ...
🏢Universities: Wenzhou Medical University - University of Chinese Academy of Sciences, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #network #driver_gene #machine_learning
📓 Journal: Journal of Cellular and Molecular Medicine (I.F.=4.3)
🗓Publish year: 2025
🧑💻Authors: Hao Zhang, Chaohuan Lin, Ying'ao Chen, ...
🏢Universities: Wenzhou Medical University - University of Chinese Academy of Sciences, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #network #driver_gene #machine_learning
👍3🔥1👏1
📑Machine learning and related approaches in transcriptomics
📙 Journal: Biochemical and Biophysical Research Communications (I.F.=2.5)
🗓 Publish year: 2024
🧑💻Authors: Yuning Cheng, Si-Mei Xu, Kristina Santucci, ...
🏢Universities: University of New South Wales, Australia
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📲Channel: @Bioinformatics
#review #machine_learning #transcriptomics
📙 Journal: Biochemical and Biophysical Research Communications (I.F.=2.5)
🗓 Publish year: 2024
🧑💻Authors: Yuning Cheng, Si-Mei Xu, Kristina Santucci, ...
🏢Universities: University of New South Wales, Australia
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📲Channel: @Bioinformatics
#review #machine_learning #transcriptomics
❤1
📑 Eight quick tips for biologically and medically informed machine learning
📕 Journal: PLOS Computational Biology (I.F.=3.8)
🗓 Publish year: 2025
🧑💻Authors: Luca Oneto,Davide Chicco
🏢University: Università di Genova, Italy
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📲Channel: @Bioinformatics
#tutorial #ml #machine_learning
📕 Journal: PLOS Computational Biology (I.F.=3.8)
🗓 Publish year: 2025
🧑💻Authors: Luca Oneto,Davide Chicco
🏢University: Università di Genova, Italy
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📲Channel: @Bioinformatics
#tutorial #ml #machine_learning
👍3❤2🔥1👏1
📄 Predicting host-pathogen interactions with machine learning algorithms: A scoping review
📓 Journal: Infection, Genetics and Evolution (I.F.=2.6)
🗓 Publish year: 2025
🧑💻Authors: Rasool Sahragard, Masoud Arabfard, Ali Najafi
🏢Universities: Baqiyatallah University of Medical Sciences, Iran
📎 Study the paper
📲Channel: @Bioinformatics
#review #host #pathogen #machine_learning
📓 Journal: Infection, Genetics and Evolution (I.F.=2.6)
🗓 Publish year: 2025
🧑💻Authors: Rasool Sahragard, Masoud Arabfard, Ali Najafi
🏢Universities: Baqiyatallah University of Medical Sciences, Iran
📎 Study the paper
📲Channel: @Bioinformatics
#review #host #pathogen #machine_learning
👍6❤2🙏1👌1
🎥 Explainable Machine Learning in Early Cancer Diagnosis
🎞 Watch
📲Channel: @Bioinformatics
#video #machine_learning #explainability #cancer
🎞 Watch
📲Channel: @Bioinformatics
#video #machine_learning #explainability #cancer
YouTube
Forerunners of Cancer Hallmarks: Explainable Machine Learning in Early Cancer Diagnosis
Judith Cerit, Technical University of Munich
August 19, 2024
The Mathematics of the Hallmarks of Cancer (http://www.fields.utoronto.ca/activities/24-25/oncology-hallmarks)
August 19, 2024
The Mathematics of the Hallmarks of Cancer (http://www.fields.utoronto.ca/activities/24-25/oncology-hallmarks)
❤3👍1
📽 Mining Patterns of Somatic Mutations in Cancer with Machine Learning
🎞 Watch
📲Channel: @Bioinformatics
#video #machine_learning #cancer #mutation
🎞 Watch
📲Channel: @Bioinformatics
#video #machine_learning #cancer #mutation
YouTube
Mining Patterns of Somatic Mutations in Cancer with Machine Learning
Title: Mining Patterns of Somatic Mutations in Cancer with Machine Learning
Presenter: Quaid Morris, Full Member in the Computational and System Biology program at Sloan Kettering Institute; Co-Director of the Graduate Program in Computational Biology and…
Presenter: Quaid Morris, Full Member in the Computational and System Biology program at Sloan Kettering Institute; Co-Director of the Graduate Program in Computational Biology and…
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🎓Advanced Applications of Machine Learning in Bioinformatics
💥Doctoral thesis from University of Tübingen, Germany
🗓Publish year: 2025
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #machine_learning #epigenomics #metagenomics #disease
💥Doctoral thesis from University of Tübingen, Germany
🗓Publish year: 2025
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #machine_learning #epigenomics #metagenomics #disease
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🎓Application of Machine Learning and Large Language Models in Healthcare for Data Prediction and Summarization
💥MSc thesis from Georgia Southern University, USA
🗓Publish year: 2025
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #msc #machine_learning #prediction #health
💥MSc thesis from Georgia Southern University, USA
🗓Publish year: 2025
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #msc #machine_learning #prediction #health
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