📑 Explainable artificial intelligence for omics data: a systematic mapping study

📗Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓Publish year: 2024

🧑‍💻Authors: Philipp A Toussaint, Florian Leiser, Scott Thiebes, ...
🏢University: Department of Economics and Management - University of Augsburg , Germany

📎 Study the paper

📲Channel: @Bioinformatics
#review #explainable #ai #omics

📃 Recent Advances in Generative Adversarial Networks for Gene Expression Data: A Comprehensive Review

📗Journal: Mathematics (I.F.=2.4)
🗓Publish year: 2023

🧑‍💻Authors: Minhyeok Lee
🏢University: Chung-Ang University, Republic of Korea

📎 Study the paper

📲Channel: @Bioinformatics
#review #GAN #gene_expression

👨‍💻 Bioinformatics business ideas

🌐 Link to article

📲Channel: @Bioinformatics
#startup

🎞 Machine Learning with Graphs: Graph Neural Networks in Computational Biology

💥Free recorded course by Prof. Marinka Zitnik

💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #course #Graph #GNN #Machine_Learning #computational_biology

📹 The intersection of Bioinformatics, Machine learning, and scientific experimentation

🎞 Watch

📲Channel: @Bioinformatics
#video #pharmacology

📃 In silico protein function prediction: the rise of machine learning-based approaches

📙Journal: Medical Review (De Gruyter)
🗓Publish year: 2023

🧑‍💻Authors: Jiaxiao Chen , Zhonghui Gu , Luhua Lai, Jianfeng Pei
🏢University: Peking University, China

📎 Study the paper

📲Channel: @Bioinformatics
#review #protein_function #ml

📃 Applications of deep learning in understanding gene regulation

📘Journal: Cell Reports Methods
🗓Publish year: 2023

🧑‍💻Authors: Zhongxiao Li, Elva Gao, Juexiao Zhou, ...
🏢University: King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi Arabia

📎 Study the paper

📲Channel: @Bioinformatics
#review #gene_regulation #deep_learning

👨‍🏫 Registration is open for One month International Bioinformatics Workshop by Decode Life.

💥 Bioinformatics Data Science with R, 9th Edition 2024 💥

🔻 Including 5 day Project on Building *_Machine Learning_* model


🗓 Duration: 20 April - 12 May, 2024

✍️ Registration Link
https://decodelife.co.in

💲Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation

ℹ️ Recording & material will be shared immediately after sessions

❔Frequently asked questions
https://decodelife.co.in/faq

🔗Our network
https://www.linkedin.com/company/decode-life

🔻Please subscribe-

🔹Facebook – www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads -www.threads.net/@decode_life_bioinfo

Decodelife discord server -https://discord.com/invite/T7dGkCTQ

📲Channel: @Bioinformatics

📄Application of Genomic Data in Translational Medicine During the Big Data Era

📕 Journal: Frontiers in Bioscience-Landmark (I.F.=3.1)
🗓Publish year: 2024

🧑‍💻Authors: Yun Zhang, Jian Yu, Xiaoyan Xie, ...
🏢University: The First Affiliated Hospital of Nanjing Medical University - Obstetrics and Gynecology Hospital of Fudan University,China

📎 Study the paper

📲Channel: @Bioinformatics
#review #genomic #medicine

📘 Systems Biology
- Functional Strategies of Living Organisms
💥 Free online book, 2023

🌐 Study

📲Channel: @Bioinformatics
#book #systems_biology

📃Machine learning for metabolic pathway optimization: A review

📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023

🧑‍💻Authors: Yang Cheng, Xinyu Bi, Yameng Xu, ...
🏢University: Jiangnan University, China

📎 Study the paper

📲Channel: @Bioinformatics
#review #ml #pathway