πDisease diagnosis and control by reinforcement learning techniques: a systematic literature review
πJournal: Discover Computing
πPublish year: 2025
π§βπ»Authors: Aditya Dev Mishra, Ajay Kumar Shrivastava & Megha Bhushan
π’Universities: Galgotias College of Engineering and Technology & KIET Group of Institutions, India - University of Seville, Spain
π Study the paper
π²Channel: @Bioinformatics
#review #diease #reinforcement_learning
πJournal: Discover Computing
πPublish year: 2025
π§βπ»Authors: Aditya Dev Mishra, Ajay Kumar Shrivastava & Megha Bhushan
π’Universities: Galgotias College of Engineering and Technology & KIET Group of Institutions, India - University of Seville, Spain
π Study the paper
π²Channel: @Bioinformatics
#review #diease #reinforcement_learning
π4β€3
π Comprehensive review of Bayesian network applications in gastrointestinal cancers
πJournal: World Journal of Clinical Oncology (I.F.=3.2)
πPublish year: 2025
π§βπ»Authors: Min-Na Zhang, Meng-Ju Xue, Bao-Zhen Zhou, ...
π’Universities: Xi'an International University & Yanβan University, China
π Study the paper
π²Channel: @Bioinformatics
#review #bayesian #gastrointestinal #cancers
πJournal: World Journal of Clinical Oncology (I.F.=3.2)
πPublish year: 2025
π§βπ»Authors: Min-Na Zhang, Meng-Ju Xue, Bao-Zhen Zhou, ...
π’Universities: Xi'an International University & Yanβan University, China
π Study the paper
π²Channel: @Bioinformatics
#review #bayesian #gastrointestinal #cancers
β€1π1π₯1π1
π Epigenetic regulators in cancer therapy and progression
π Journal: npj Precision Oncology (I.F.=8)
πPublish year: 2025
π§βπ»Author: Hany E. Marei
π’Universities: Mansoura University, Egypt
π Study the paper
π²Channel: @Bioinformatics
#review #epigenetic #cancer
π Journal: npj Precision Oncology (I.F.=8)
πPublish year: 2025
π§βπ»Author: Hany E. Marei
π’Universities: Mansoura University, Egypt
π Study the paper
π²Channel: @Bioinformatics
#review #epigenetic #cancer
β€3π₯3
πMethods for reconstructing gene regulatory networks from single-cell transcriptomic data
π Journal: ΠΠ°Π²ΠΈΠ»ΠΎΠ²ΡΠΊΠΈΠΉ ΠΆΡΡΠ½Π°Π» Π³Π΅Π½Π΅ΡΠΈΠΊΠΈ ΠΈ ΡΠ΅Π»Π΅ΠΊΡ (Systems Computational Biology) - [I.F.=0.8]
πPublish year: 2024
π§βπ»Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
π’University: Novosibirsk State University, Russia
π Study the paper
π²Channel: @Bioinformatics
#review #gene #grn #single_cell
π Journal: ΠΠ°Π²ΠΈΠ»ΠΎΠ²ΡΠΊΠΈΠΉ ΠΆΡΡΠ½Π°Π» Π³Π΅Π½Π΅ΡΠΈΠΊΠΈ ΠΈ ΡΠ΅Π»Π΅ΠΊΡ (Systems Computational Biology) - [I.F.=0.8]
πPublish year: 2024
π§βπ»Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
π’University: Novosibirsk State University, Russia
π Study the paper
π²Channel: @Bioinformatics
#review #gene #grn #single_cell
π4
π A Survey of Large Language Model for Drug Research and Development
π Journal: IEEE Access (I.F.=0.8)
πPublish year: 2025
π§βπ»Authors: Huijie Guo; Xudong Xing; Yongjie Zhou; ...
π’Universities: China Pharmaceutical University & Chinese Academy of Sciences, China
π Study the paper
π²Channel: @Bioinformatics
#review #drug #llm
π Journal: IEEE Access (I.F.=0.8)
πPublish year: 2025
π§βπ»Authors: Huijie Guo; Xudong Xing; Yongjie Zhou; ...
π’Universities: China Pharmaceutical University & Chinese Academy of Sciences, China
π Study the paper
π²Channel: @Bioinformatics
#review #drug #llm
π4β€2
π Scientific Large Language Models: A Survey on Biological & Chemical Domains
π Journal: ACM Computing Surveys (π₯I.F.=28)
πPublish year: 2025
π§βπ»Authors: Qiang Zhang, Keyan Ding, Tianwen Lv, ...
π’Universities: Zhejiang University, China
π Study the paper
π¦ Supplementary Materials
π²Channel: @Bioinformatics
#review #llm #protein #molecular #genomic
π Journal: ACM Computing Surveys (π₯I.F.=28)
πPublish year: 2025
π§βπ»Authors: Qiang Zhang, Keyan Ding, Tianwen Lv, ...
π’Universities: Zhejiang University, China
π Study the paper
π¦ Supplementary Materials
π²Channel: @Bioinformatics
#review #llm #protein #molecular #genomic
π7β€2π₯1π1π1
π Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey
πPublish year: 2025
π§βπ»Authors: Payam Zohari & Mostafa Haghir Chehreghani
π’University: Amirkabir University of Technology (Tehran Polytechnic), Iran
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #multi_omics #gnn
πPublish year: 2025
π§βπ»Authors: Payam Zohari & Mostafa Haghir Chehreghani
π’University: Amirkabir University of Technology (Tehran Polytechnic), Iran
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #multi_omics #gnn
β€6π1π1
π£ Pre-Registration Now Open for the International ORCA Workshop
β Interested? Please fill out this short pre-registration form:
π 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.
π¨βπ« Instructor: Dr. Mehdi Irani β a recognized expert in computational chemistry
π https://prof.uok.ac.ir/m.irani/index.htm
____________________________________
π§ͺ 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:
β’ HartreeβFock
β’ DFT
β’ Post-HartreeβFock methods (e.g., MP2, CCSD)
β’ Multiscale QM/MM techniques
It is freely available for academic use and runs on Linux, macOS, and Windows platforms.
________________________________
π Topics to Be Covered
β’ Introduction to quantum mechanical methods in chemistry
β’ Installing and running ORCA on your system
β’ Preparing input files for basic and advanced calculations
β’ Geometry optimizations and single-point energy calculations
β’ Frequency calculations and reaction transition states
β’ Analyzing output files
β’ (Possibly) An introduction to QM/MM and QM1/QM2 multiscale methods using ORCA
________________________________
π― Who Should Attend?
This workshop is suitable for:
β’ Students, researchers, and faculty with elementary knowledge of quantum chemistry or molecular modeling
β’ Beginners looking to start using ORCA for their computational research
β’ Participants from any country or region interested in theoretical chemistry
________________________________
π 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.
β Interested? Please fill out this short pre-registration form:
π 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.
π¨βπ« Instructor: Dr. Mehdi Irani β a recognized expert in computational chemistry
π https://prof.uok.ac.ir/m.irani/index.htm
____________________________________
π§ͺ 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:
β’ HartreeβFock
β’ DFT
β’ Post-HartreeβFock methods (e.g., MP2, CCSD)
β’ Multiscale QM/MM techniques
It is freely available for academic use and runs on Linux, macOS, and Windows platforms.
________________________________
π Topics to Be Covered
β’ Introduction to quantum mechanical methods in chemistry
β’ Installing and running ORCA on your system
β’ Preparing input files for basic and advanced calculations
β’ Geometry optimizations and single-point energy calculations
β’ Frequency calculations and reaction transition states
β’ Analyzing output files
β’ (Possibly) An introduction to QM/MM and QM1/QM2 multiscale methods using ORCA
________________________________
π― Who Should Attend?
This workshop is suitable for:
β’ Students, researchers, and faculty with elementary knowledge of quantum chemistry or molecular modeling
β’ Beginners looking to start using ORCA for their computational research
β’ Participants from any country or region interested in theoretical chemistry
________________________________
π 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
π4β€1
π©βπ« Single-Molecule & Spatial Sequencing: Methods & Applications (Spring 2025)
π₯Online recorded course from Cornell University
π©βπ» Course link
π Recorded videos
π²Channel: @Bioinformatics
#video #course #sequencing #rna
π₯Online recorded course from Cornell University
π©βπ» Course link
π Recorded videos
π²Channel: @Bioinformatics
#video #course #sequencing #rna
π7
πΉ Visualization and interpretation of high-throughput genomics data
π₯ From University of Virginia
π Watch
π²Channel: @Bioinformatics
#video #viualization #genomics
π₯ From University of Virginia
π Watch
π²Channel: @Bioinformatics
#video #viualization #genomics
YouTube
UVA BIMS6000 Block 2 Lecture on Data Visualization 20240820
π3β€2