📑Disease diagnosis and control by reinforcement learning techniques: a systematic literature review
📕Journal: Discover Computing
🗓Publish year: 2025
🧑💻Authors: Aditya Dev Mishra, Ajay Kumar Shrivastava & Megha Bhushan
🏢Universities: Galgotias College of Engineering and Technology & KIET Group of Institutions, India - University of Seville, Spain
📎 Study the paper
📲Channel: @Bioinformatics
#review #diease #reinforcement_learning
📕Journal: Discover Computing
🗓Publish year: 2025
🧑💻Authors: Aditya Dev Mishra, Ajay Kumar Shrivastava & Megha Bhushan
🏢Universities: Galgotias College of Engineering and Technology & KIET Group of Institutions, India - University of Seville, Spain
📎 Study the paper
📲Channel: @Bioinformatics
#review #diease #reinforcement_learning
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📃 Comprehensive review of Bayesian network applications in gastrointestinal cancers
📔Journal: World Journal of Clinical Oncology (I.F.=3.2)
🗓Publish year: 2025
🧑💻Authors: Min-Na Zhang, Meng-Ju Xue, Bao-Zhen Zhou, ...
🏢Universities: Xi'an International University & Yan’an University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #bayesian #gastrointestinal #cancers
📔Journal: World Journal of Clinical Oncology (I.F.=3.2)
🗓Publish year: 2025
🧑💻Authors: Min-Na Zhang, Meng-Ju Xue, Bao-Zhen Zhou, ...
🏢Universities: Xi'an International University & Yan’an University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #bayesian #gastrointestinal #cancers
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📑 Epigenetic regulators in cancer therapy and progression
📗 Journal: npj Precision Oncology (I.F.=8)
🗓Publish year: 2025
🧑💻Author: Hany E. Marei
🏢Universities: Mansoura University, Egypt
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📲Channel: @Bioinformatics
#review #epigenetic #cancer
📗 Journal: npj Precision Oncology (I.F.=8)
🗓Publish year: 2025
🧑💻Author: Hany E. Marei
🏢Universities: Mansoura University, Egypt
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📲Channel: @Bioinformatics
#review #epigenetic #cancer
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📃Methods for reconstructing gene regulatory networks from single-cell trannoscriptomic data
📔 Journal: Вавиловский журнал генетики и селекц (Systems Computational Biology) - [I.F.=0.8]
🗓Publish year: 2024
🧑💻Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
🏢University: Novosibirsk State University, Russia
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📲Channel: @Bioinformatics
#review #gene #grn #single_cell
📔 Journal: Вавиловский журнал генетики и селекц (Systems Computational Biology) - [I.F.=0.8]
🗓Publish year: 2024
🧑💻Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
🏢University: Novosibirsk State University, Russia
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📲Channel: @Bioinformatics
#review #gene #grn #single_cell
👍4
📄 A Survey of Large Language Model for Drug Research and Development
📓 Journal: IEEE Access (I.F.=0.8)
🗓Publish year: 2025
🧑💻Authors: Huijie Guo; Xudong Xing; Yongjie Zhou; ...
🏢Universities: China Pharmaceutical University & Chinese Academy of Sciences, China
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📲Channel: @Bioinformatics
#review #drug #llm
📓 Journal: IEEE Access (I.F.=0.8)
🗓Publish year: 2025
🧑💻Authors: Huijie Guo; Xudong Xing; Yongjie Zhou; ...
🏢Universities: China Pharmaceutical University & Chinese Academy of Sciences, China
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📲Channel: @Bioinformatics
#review #drug #llm
👍4❤3
📑 Scientific Large Language Models: A Survey on Biological & Chemical Domains
📘 Journal: ACM Computing Surveys (🔥I.F.=28)
🗓Publish year: 2025
🧑💻Authors: Qiang Zhang, Keyan Ding, Tianwen Lv, ...
🏢Universities: Zhejiang University, China
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📦 Supplementary Materials
📲Channel: @Bioinformatics
#review #llm #protein #molecular #genomic
📘 Journal: ACM Computing Surveys (🔥I.F.=28)
🗓Publish year: 2025
🧑💻Authors: Qiang Zhang, Keyan Ding, Tianwen Lv, ...
🏢Universities: Zhejiang University, China
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📦 Supplementary Materials
📲Channel: @Bioinformatics
#review #llm #protein #molecular #genomic
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📃 Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey
🗓Publish year: 2025
🧑💻Authors: Payam Zohari & Mostafa Haghir Chehreghani
🏢University: Amirkabir University of Technology (Tehran Polytechnic), Iran
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📲Channel: @Bioinformatics
#review #cancer #multi_omics #gnn
🗓Publish year: 2025
🧑💻Authors: Payam Zohari & Mostafa Haghir Chehreghani
🏢University: Amirkabir University of Technology (Tehran Polytechnic), Iran
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📲Channel: @Bioinformatics
#review #cancer #multi_omics #gnn
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📣 Pre-Registration Now Open for the International ORCA Workshop
✅ Interested? Please fill out this short pre-registration form:
👉 https://forms.gle/UQZgNvr26AGBSnja6
____________________________________
Are you interested in learning how to perform quantum mechanical calculations using the powerful and free ORCA software package?
We are excited to announce a potential international workshop on ORCA, a widely used program for quantum chemistry calculations. Whether you're a beginner or have basic knowledge of computational chemistry, this workshop is designed to introduce you to ORCA and help you get started with geometry optimization, frequency analysis, transition state searches, and more.
👨🏫 Instructor: Dr. Mehdi Irani — a recognized expert in computational chemistry
🔗 https://prof.uok.ac.ir/m.irani/index.htm
____________________________________
🧪 What is ORCA?
ORCA is a versatile and efficient quantum chemistry software developed by the Neese group. It supports a wide range of methods, including:
• Hartree–Fock
• DFT
• Post-Hartree–Fock methods (e.g., MP2, CCSD)
• Multiscale QM/MM techniques
It is freely available for academic use and runs on Linux, macOS, and Windows platforms.
________________________________
📚 Topics to Be Covered
• Introduction to quantum mechanical methods in chemistry
• Installing and running ORCA on your system
• Preparing input files for basic and advanced calculations
• Geometry optimizations and single-point energy calculations
• Frequency calculations and reaction transition states
• Analyzing output files
• (Possibly) An introduction to QM/MM and QM1/QM2 multiscale methods using ORCA
________________________________
🎯 Who Should Attend?
This workshop is suitable for:
• Students, researchers, and faculty with elementary knowledge of quantum chemistry or molecular modeling
• Beginners looking to start using ORCA for their computational research
• Participants from any country or region interested in theoretical chemistry
________________________________
📅 Tentative Date
The workshop is planned for late August or early September 2025.
The exact date and structure will be finalized based on the number of interested participants.
✅ Interested? Please fill out this short pre-registration form:
👉 https://forms.gle/UQZgNvr26AGBSnja6
____________________________________
Are you interested in learning how to perform quantum mechanical calculations using the powerful and free ORCA software package?
We are excited to announce a potential international workshop on ORCA, a widely used program for quantum chemistry calculations. Whether you're a beginner or have basic knowledge of computational chemistry, this workshop is designed to introduce you to ORCA and help you get started with geometry optimization, frequency analysis, transition state searches, and more.
👨🏫 Instructor: Dr. Mehdi Irani — a recognized expert in computational chemistry
🔗 https://prof.uok.ac.ir/m.irani/index.htm
____________________________________
🧪 What is ORCA?
ORCA is a versatile and efficient quantum chemistry software developed by the Neese group. It supports a wide range of methods, including:
• Hartree–Fock
• DFT
• Post-Hartree–Fock methods (e.g., MP2, CCSD)
• Multiscale QM/MM techniques
It is freely available for academic use and runs on Linux, macOS, and Windows platforms.
________________________________
📚 Topics to Be Covered
• Introduction to quantum mechanical methods in chemistry
• Installing and running ORCA on your system
• Preparing input files for basic and advanced calculations
• Geometry optimizations and single-point energy calculations
• Frequency calculations and reaction transition states
• Analyzing output files
• (Possibly) An introduction to QM/MM and QM1/QM2 multiscale methods using ORCA
________________________________
🎯 Who Should Attend?
This workshop is suitable for:
• Students, researchers, and faculty with elementary knowledge of quantum chemistry or molecular modeling
• Beginners looking to start using ORCA for their computational research
• Participants from any country or region interested in theoretical chemistry
________________________________
📅 Tentative Date
The workshop is planned for late August or early September 2025.
The exact date and structure will be finalized based on the number of interested participants.
Google Docs
Pre-Registration_ORCA Workshop
Pre-Registration Now Open for the International ORCA Workshop
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👩🏫 Single-Molecule & Spatial Sequencing: Methods & Applications (Spring 2025)
💥Online recorded course from Cornell University
👩💻 Course link
🎞 Recorded videos
📲Channel: @Bioinformatics
#video #course #sequencing #rna
💥Online recorded course from Cornell University
👩💻 Course link
🎞 Recorded videos
📲Channel: @Bioinformatics
#video #course #sequencing #rna
👍7❤1
📹 Visualization and interpretation of high-throughput genomics data
💥 From University of Virginia
🎞 Watch
📲Channel: @Bioinformatics
#video #viualization #genomics
💥 From University of Virginia
🎞 Watch
📲Channel: @Bioinformatics
#video #viualization #genomics
YouTube
UVA BIMS6000 Block 2 Lecture on Data Visualization 20240820
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
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📑 Learning and teaching biological data science in the Bioconductor community
📕 Journal: PLOS Computational Biology (I.F.=3.6)
🗓Publish year: 2025
🧑💻Authors: Jenny Drnevich ,Frederick J. Tan ,Fabricio Almeida-Silva, ...
🏢Universities: University of Illinois Urbana-Champaign & Johns Hopkins University & , USA - Ghent University,Belgium - Universitat Pompeu Fabra, Spain - University of Limerick, Ireland
📎 Study the paper
📲Channel: @Bioinformatics
#data #bioconductor #r
📕 Journal: PLOS Computational Biology (I.F.=3.6)
🗓Publish year: 2025
🧑💻Authors: Jenny Drnevich ,Frederick J. Tan ,Fabricio Almeida-Silva, ...
🏢Universities: University of Illinois Urbana-Champaign & Johns Hopkins University & , USA - Ghent University,Belgium - Universitat Pompeu Fabra, Spain - University of Limerick, Ireland
📎 Study the paper
📲Channel: @Bioinformatics
#data #bioconductor #r
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