📑Deep learning-based clustering approaches for bioinformatics
📘 Journal:Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2021
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📲Channel: @Bioinformatics
#review #deep_learning #clustering
📘 Journal:Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#review #deep_learning #clustering
👍6🙏2
📃Multi-omic and multi-view clustering algorithms: review and cancer benchmark
📘 Journal: Nucleic Acids Research (I.F=19.160)
🗓Publish year: 2018
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📲Channel: @Bioinformatics
#review #multi_omic #clustering #cancer
📘 Journal: Nucleic Acids Research (I.F=19.160)
🗓Publish year: 2018
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📲Channel: @Bioinformatics
#review #multi_omic #clustering #cancer
❤5👍2👏1
📃 A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics
📘Journal: Computational and Structural Biotechnology Journal (I.F.=4.4)
🗓Publish year: 2024
🧑💻Authors: Teng Liu, Zhao-Yu Fang, Zongbo Zhang,...
🏢Universities: Chongqing University -Central South University, China
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📲Channel: @Bioinformatics
#review #transcriptomics #clustering #GNN
📘Journal: Computational and Structural Biotechnology Journal (I.F.=4.4)
🗓Publish year: 2024
🧑💻Authors: Teng Liu, Zhao-Yu Fang, Zongbo Zhang,...
🏢Universities: Chongqing University -Central South University, China
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📲Channel: @Bioinformatics
#review #transcriptomics #clustering #GNN
👍5❤1
📄Comprehensive Evaluation of Multi-Omics Clustering Algorithms for Cancer Molecular Subtyping
📘 Journal: International Journal of Molecular Sciences (I.F.=4.9)
🗓 Publish year: 2025
🧑💻Authors: Juan Wang,Lingxiao Wang,Yi Liu, ...
🏢Universities: Anhui Medical University-Beijing Institute of Lifeomics, China
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📲Channel: @Bioinformatics
#review #omics #clustering #cancer #subtyping
📘 Journal: International Journal of Molecular Sciences (I.F.=4.9)
🗓 Publish year: 2025
🧑💻Authors: Juan Wang,Lingxiao Wang,Yi Liu, ...
🏢Universities: Anhui Medical University-Beijing Institute of Lifeomics, China
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📲Channel: @Bioinformatics
#review #omics #clustering #cancer #subtyping
❤1👌1
📜 Building Machine Learning Clustering Models for Gene Expression RNA-Seq Data
💥Technical paper in python
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📲Channel: @Bioinformatics
#python #clustering #gene_expression #rna_seq
💥Technical paper in python
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📲Channel: @Bioinformatics
#python #clustering #gene_expression #rna_seq
Medium
Building Machine Learning Clustering Models for Gene Expression RNA-Seq Data
1. Introduction
2. Using Clustering Algorithms in Bioinformatics
3. Cancer Gene Expression RNA-Seq Dataset
4. K-Means Clustering Evaluation…
2. Using Clustering Algorithms in Bioinformatics
3. Cancer Gene Expression RNA-Seq Dataset
4. K-Means Clustering Evaluation…
❤11👍2👏1
📄 Biclustering in bioinformatics using big data and High Performance Computing applications: challenges and perspectives, a review
📓 Journal: Supercomputing (I.F.=2.7)
🗓Publish year: 2025
🧑💻Authors: Aurelio López-Fernández, Francisco A. Gomez-Vela, Domingo S. Rodriguez-Baena, ...
🏢Universities: Universidad de Sevilla, Universidad Pablo de Olavide, Universidad Pablo de Olavide, Universidade da Coruña, Spain - University of Hamburg, Germany
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📲Channel: @Bioinformatics
#review #biclustering #clustering #hpc
📓 Journal: Supercomputing (I.F.=2.7)
🗓Publish year: 2025
🧑💻Authors: Aurelio López-Fernández, Francisco A. Gomez-Vela, Domingo S. Rodriguez-Baena, ...
🏢Universities: Universidad de Sevilla, Universidad Pablo de Olavide, Universidad Pablo de Olavide, Universidade da Coruña, Spain - University of Hamburg, Germany
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📲Channel: @Bioinformatics
#review #biclustering #clustering #hpc
❤4👍1