π₯ Explainable Machine Learning in Early Cancer Diagnosis
π Watch
π²Channel: @Bioinformatics
#video #machine_learning #explainability #cancer
π Watch
π²Channel: @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 (https://www.fields.utoronto.ca/activities/24-25/oncology-hallmarks)
August 19, 2024
The Mathematics of the Hallmarks of Cancer (https://www.fields.utoronto.ca/activities/24-25/oncology-hallmarks)
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π An introduction to and survey of biological network visualization
π Journal: Computers & Graphics (I.F.=2.5)
πPublish year: 2025
π§βπ»Authors: Henry Ehlers, Nicolas Brich, Michael Krone,...
π’Universities: University of TΓΌbingen, Germany - Peking University, China -Osaka Seikei University, Japan, ...
π Study the paper
π²Channel: @Bioinformatics
#review #network #visualization #biological
π Journal: Computers & Graphics (I.F.=2.5)
πPublish year: 2025
π§βπ»Authors: Henry Ehlers, Nicolas Brich, Michael Krone,...
π’Universities: University of TΓΌbingen, Germany - Peking University, China -Osaka Seikei University, Japan, ...
π Study the paper
π²Channel: @Bioinformatics
#review #network #visualization #biological
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π½ Mining Patterns of Somatic Mutations in Cancer with Machine Learning
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π²Channel: @Bioinformatics
#video #machine_learning #cancer #mutation
π Watch
π²Channel: @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 andβ¦
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 andβ¦
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π Large Language Models in Biochemistry Education: Comparative Evaluation of Performance
π Journal: JMIR Medical Education (I.F.=3.2, Q1)
πPublish year: 2025
π§βπ»Authors: Olena Bolgova; Inna Shypilova; Volodymyr Mavrych
π’Universities: Alfaisal University, Saudi Arabia - St Mathews University, Cayman Islands
π Study the paper
π²Channel: @Bioinformatics
#ChatGPT #Claude #Gemini #Copilot #biochemistry #ai
π Journal: JMIR Medical Education (I.F.=3.2, Q1)
πPublish year: 2025
π§βπ»Authors: Olena Bolgova; Inna Shypilova; Volodymyr Mavrych
π’Universities: Alfaisal University, Saudi Arabia - St Mathews University, Cayman Islands
π Study the paper
π²Channel: @Bioinformatics
#ChatGPT #Claude #Gemini #Copilot #biochemistry #ai
π4β€1π1
π Evaluating the advancements in protein language models for encoding strategies in protein function prediction: a comprehensive review
π Journal: Frontiers in Bioengineering and Biotechnology (I.F.=4.3)
πPublish year: 2025
π§βπ»Authors: Jia-Ying Chen, Jing-Fu Wang, Yue Hu, ...
π’Universities: Xinjiang University, China
π Study the paper
π²Channel: @Bioinformatics
#review #protein #language #chatgpt
π Journal: Frontiers in Bioengineering and Biotechnology (I.F.=4.3)
πPublish year: 2025
π§βπ»Authors: Jia-Ying Chen, Jing-Fu Wang, Yue Hu, ...
π’Universities: Xinjiang University, China
π Study the paper
π²Channel: @Bioinformatics
#review #protein #language #chatgpt
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π Decoding RNAβProtein Interactions: Methodological Advances and Emerging Challenges
π Journal: Advanced Genetics
πPublish year: 2025
π§βπ»Authors: Wenkai Yi, Jian Yan
π’Universities: City University of Hong Kong, Kowloon Tong, Hong Kong
π Study the paper
π²Channel: @Bioinformatics
#review #protein #rna
π Journal: Advanced Genetics
πPublish year: 2025
π§βπ»Authors: Wenkai Yi, Jian Yan
π’Universities: City University of Hong Kong, Kowloon Tong, Hong Kong
π Study the paper
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#review #protein #rna
π5
π No code, no problem - data analysis for biologists
π½ Watch
π²Channel: @Bioinformatics
#video #code #data
π½ Watch
π²Channel: @Bioinformatics
#video #code #data
YouTube
No code, no problem - data analysis for biologists with Galaxy Australia
Life science research is all about data. Turning that data into useful biological knowledge and publication-worthy figures requires specialised bioinformatics resources and compute. This is where Galaxy comes in.
Galaxy is an accessible, online platformβ¦
Galaxy is an accessible, online platformβ¦
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π DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models
π Journal: Frontiers in Medicine (I.F.=3.1)
πPublish year: 2025
π§βπ»Authors: Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Arooj Zaib, ...
π’Universities: German Research Center for Artificial Intelligence GmbH & Technical University of Kaiserslautern, Germany
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π²Channel: @Bioinformatics
#review #dna
π Journal: Frontiers in Medicine (I.F.=3.1)
πPublish year: 2025
π§βπ»Authors: Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Arooj Zaib, ...
π’Universities: German Research Center for Artificial Intelligence GmbH & Technical University of Kaiserslautern, Germany
π Study the paper
π²Channel: @Bioinformatics
#review #dna
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π Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis
π Journal: International Journal of Molecular Sciences (I.F.=4.9)
πPublish year: 2025
π§βπ»Authors: Dang-Khoa Vo & Kieu The Loan Trinh
π’Universities: Gachon University, Republic of Korea
π Study the paper
π²Channel: @Bioinformatics
#review #biomarkers #metabolomics
π Journal: International Journal of Molecular Sciences (I.F.=4.9)
πPublish year: 2025
π§βπ»Authors: Dang-Khoa Vo & Kieu The Loan Trinh
π’Universities: Gachon University, Republic of Korea
π Study the paper
π²Channel: @Bioinformatics
#review #biomarkers #metabolomics
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π Bioinformatics and Functional Genomics
π¨βπ« Author: Jonathan Pevsner
π₯Wiley publishing
π Study
π²Channel: @Bioinformatics
#book #genomics
π¨βπ« Author: Jonathan Pevsner
π₯Wiley publishing
π Study
π²Channel: @Bioinformatics
#book #genomics
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