📃 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
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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.…
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