📑 Biological Data Mining and Its Applications in Pulmonology
🏢 Conference: 4th International Conference on Informatics & Data-Driven Medicine (IDDM 2021)
🗓Publish year: 2021
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📲Channel: @Bioinformatics
#data_mining #pulmonology
🏢 Conference: 4th International Conference on Informatics & Data-Driven Medicine (IDDM 2021)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#data_mining #pulmonology
👍5
🧑🏫 Free workshop with bursaries awarded on merit to cover travel, accommodation and sustenance
Practical hands-on training in helminth genome analysis
🗓 Date: 21–26 May 2023
💣 Application deadline: 23 February 2023
ℹ️ Details & Apply
📲Channel: @Bioinformatics
#workshop #genome_analysis
Practical hands-on training in helminth genome analysis
🗓 Date: 21–26 May 2023
💣 Application deadline: 23 February 2023
ℹ️ Details & Apply
📲Channel: @Bioinformatics
#workshop #genome_analysis
👍7👏1
📃Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA
📘Journal: Frontiers in Bioengineering and Biotechnology (I.F.=6.064)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #ml #data_mining #sequence
📘Journal: Frontiers in Bioengineering and Biotechnology (I.F.=6.064)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#review #ml #data_mining #sequence
🔥1
📄A Brief Review on Deep Learning Applications in Genomic Studies
📘Journal: Frontiers in Systems Biology
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #genomic #deep_learning
📘Journal: Frontiers in Systems Biology
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #genomic #deep_learning
👍9👏1
Forwarded from Network Analysis Resources & Updates
📄A Mini Review of Node Centrality Metrics in Biological Networks
📘Journal: International Journal of Network Dynamics and Intelligence
🗓Publish year: 2022
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📱Channel: @ComplexNetworkAnalysis
#paper #node_centrality #biological_network
📘Journal: International Journal of Network Dynamics and Intelligence
🗓Publish year: 2022
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📱Channel: @ComplexNetworkAnalysis
#paper #node_centrality #biological_network
👍4🤔1
📃Fifteen Years of Gene Set Analysis for High-Throughput Genomic Data: A Review of Statistical Approaches and Future Challenges
📘Journal: Entropy (I.F.=2.738)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #gene_set #genomic
📘Journal: Entropy (I.F.=2.738)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #gene_set #genomic
👍4❤1
📄A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction
📘Journal: IEEE Access (I.F.=3.476)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #ml #gene_expression #cancer
📘Journal: IEEE Access (I.F.=3.476)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #ml #gene_expression #cancer
👍6
📑 A Survey of Biological Data in a Big Data Perspective
📘Journal: Big Data (I.F.=4.426)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #data #big_data
📘Journal: Big Data (I.F.=4.426)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #data #big_data
👍3
📃Genomics enters the deep learning era
📘Journal: PeerJ (I.F.=3.061)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #deep_learning #genomics
📘Journal: PeerJ (I.F.=3.061)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #deep_learning #genomics
👍4❤1
📄 Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
📘Journal: Bioengineering (I.F.=5.046)
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #machine_learning #cancer #gene_expression
📘Journal: Bioengineering (I.F.=5.046)
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #machine_learning #cancer #gene_expression
👍7
📃The application of machine learning to multi-omics data: dealing with dimensionality
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2023
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💾 Data and processing scripts
📲Channel: @Bioinformatics
#review #machine_learning #multi_omics
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2023
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💾 Data and processing scripts
📲Channel: @Bioinformatics
#review #machine_learning #multi_omics
👍8
📑Ten simple rules for teaching yourself R
💥Teaching yourself new skills can be hard. It can be a process rife with frustration, self-doubt, and low motivation to continue. The 10 rules we list here are our best strategies to overcome these challenges, master new techniques, and maybe even have some fun along the way! We hope that these rules will help new R users, be they graduate students, hobbyists, or established researchers eager to learn a new tool.
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#r
💥Teaching yourself new skills can be hard. It can be a process rife with frustration, self-doubt, and low motivation to continue. The 10 rules we list here are our best strategies to overcome these challenges, master new techniques, and maybe even have some fun along the way! We hope that these rules will help new R users, be they graduate students, hobbyists, or established researchers eager to learn a new tool.
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#r
👍7❤3
📄Comprehensive Review of Web Servers and Bioinformatics Tools for Cancer Prognosis Analysis
📘Journal: Frontiers in Oncology (I.F.=5.738)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #cancer #tool #web
📘Journal: Frontiers in Oncology (I.F.=5.738)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #cancer #tool #web
👍7👌1
📃Towards reproducible computational drug discovery
📘Journal: Journal of Cheminformatics (I.F.=8.469)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #drug_discovery
📘Journal: Journal of Cheminformatics (I.F.=8.469)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #drug_discovery
👍6👌3❤2
📑 Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification
📘Journal: Clinical Epigenetics (I.F.=7.259)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #epigenetics
📘Journal: Clinical Epigenetics (I.F.=7.259)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #epigenetics
BioMed Central
Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification - Clinical Epigenetics
Background Machine learning is a sub-field of artificial intelligence, which utilises large data sets to make predictions for future events. Although most algorithms used in machine learning were developed as far back as the 1950s, the advent of big data…
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