Forwarded from Network Analysis Resources & Updates
📃From time-series transcriptomics to gene regulatory networks: A review on inference methods
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
❤4
👨🏫 Registration is open for *Free one Day Bioinformatics Workshop* by Decode Life.
💥 AI and Machine Learning for Drug Discovery 💥
🗓 Timing: 5 PM to 8 PM ,25 July 2024
✍️ Registration Link
https://decodelife.co.in/advancecourses/#register
💲 No Fee for attending workshop
Features :
▫️ Industry Expert
▫️E- Certificate of Participation.
Please subscribe-
Facebook – https://www.facebook.com/decodelifebio/
Twitter- https://twitter.com/LifeDecode
Instagram- https://www.instagram.com/decode_life_bioinfo/
Linked in- https://www.linkedin.com/company/decode-life/
📲Channel: @Bioinformatics
💥 AI and Machine Learning for Drug Discovery 💥
🗓 Timing: 5 PM to 8 PM ,25 July 2024
✍️ Registration Link
https://decodelife.co.in/advancecourses/#register
💲 No Fee for attending workshop
Features :
▫️ Industry Expert
▫️E- Certificate of Participation.
Please subscribe-
Facebook – https://www.facebook.com/decodelifebio/
Twitter- https://twitter.com/LifeDecode
Instagram- https://www.instagram.com/decode_life_bioinfo/
Linked in- https://www.linkedin.com/company/decode-life/
📲Channel: @Bioinformatics
👍8❤1👌1
📄A comprehensive review of molecular optimization in artificial intelligence-based drug discovery
📗Journal: Quantitative Biology (I.F.=0.6)
🗓Publish year: 2024
🧑💻Authors: Yuhang Xia, Yongkang Wang, Zhiwei Wang, Wen Zhang
🏢University: School of Information, Huazhong Agricultural University, Wuhan, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #ai #artificial_intelligence #drug #molecular #optimization
📗Journal: Quantitative Biology (I.F.=0.6)
🗓Publish year: 2024
🧑💻Authors: Yuhang Xia, Yongkang Wang, Zhiwei Wang, Wen Zhang
🏢University: School of Information, Huazhong Agricultural University, Wuhan, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #ai #artificial_intelligence #drug #molecular #optimization
👍5❤3👏1💯1
📃 Single-cell classification, analysis, and its application using deep learning techniques
📔Journal: BioSystems (I.F.=2)
🗓Publish year: 2024
🧑💻Authors: R. Premkumar, Arthi Srinivasan, K.G. Harini Devi,...
🏢University: Rajalakshmi Engineering College, Chennai, India - University Malaysia Pahang (UMP), Malaysia - Malaysia, ...
📎 Study the paper
📲Channel: @Bioinformatics
#review #single_cell #deep_learning
📔Journal: BioSystems (I.F.=2)
🗓Publish year: 2024
🧑💻Authors: R. Premkumar, Arthi Srinivasan, K.G. Harini Devi,...
🏢University: Rajalakshmi Engineering College, Chennai, India - University Malaysia Pahang (UMP), Malaysia - Malaysia, ...
📎 Study the paper
📲Channel: @Bioinformatics
#review #single_cell #deep_learning
❤6👍4
📑 A survey of experimental and computational identification of small proteins
📘Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2024
🧑💻Authors: Joshua Beals, Haiyan Hu, Xiaoman Li
🏢University: University of Central Florida, United States
📎 Study the paper
📲Channel: @Bioinformatics
#review #small_protein #mass_spectrometry
📘Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2024
🧑💻Authors: Joshua Beals, Haiyan Hu, Xiaoman Li
🏢University: University of Central Florida, United States
📎 Study the paper
📲Channel: @Bioinformatics
#review #small_protein #mass_spectrometry
🔥6👍3
🎥 The Opportunities and Challenges of Integrating AI in Biotech
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #biotech
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #biotech
❤12👍1👌1
📃A scoping review of artificial intelligence in medical education
📓Journal: Medical Teacher (I.F.=3.3)
🗓Publish year: 2023https://www.tandfonline.com/cms/asset/a9d6ec36-e95f-4c77-92d2-6fecbc71e790/imte_a_2314198_f0002b_c.jpg
🧑💻Authors: Morris Gordon, Michelle Daniel, Aderonke Ajiboye, ...
🏢University: University of Central Lancashire, UK - University of California, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #education #medical #ai
📓Journal: Medical Teacher (I.F.=3.3)
🗓Publish year: 2023https://www.tandfonline.com/cms/asset/a9d6ec36-e95f-4c77-92d2-6fecbc71e790/imte_a_2314198_f0002b_c.jpg
🧑💻Authors: Morris Gordon, Michelle Daniel, Aderonke Ajiboye, ...
🏢University: University of Central Lancashire, UK - University of California, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #education #medical #ai
👍3
📄 Recent advances in the characterization of essential genes and development of a database of essential genes
📘Journal: iMeta (🔥I.F.=23.7)
🗓Publish year: 2024
🧑💻Authors: Ya-Ting Liang, Hao Luo, Yan Lin, Feng Gao
🏢University: Tianjin University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #essentiality #database
📘Journal: iMeta (🔥I.F.=23.7)
🗓Publish year: 2024
🧑💻Authors: Ya-Ting Liang, Hao Luo, Yan Lin, Feng Gao
🏢University: Tianjin University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #essentiality #database
❤5👍5👏1👌1
📃Databases and computational methods for the identification of piRNA-related molecules: A survey
📕Journal: Computational and Structural Biotechnology Journal (I.F.=4.4)
🗓Publish year: 2024
🧑💻Authors: Chang Guo, Xiaoli Wang, Han Ren
🏢University: Guangdong University of Foreign Studies, Huazhong University of Science and Technology, China
📎 Study the paper
📲Channel: @Bioinformatics
#review @piRNA
📕Journal: Computational and Structural Biotechnology Journal (I.F.=4.4)
🗓Publish year: 2024
🧑💻Authors: Chang Guo, Xiaoli Wang, Han Ren
🏢University: Guangdong University of Foreign Studies, Huazhong University of Science and Technology, China
📎 Study the paper
📲Channel: @Bioinformatics
#review @piRNA
👍5❤3
🎓New graph learning approaches for exploring gene and protein function
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
👍9❤2