📄A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-seq, and Single-cell RNA-seq

📘Journal: Genomics, Proteomics and Bioinformatics (GPB) (I.F.=6.409)
🗓Publish year: 2022

📎 Study the paper

📲Channel: @Bioinformatics
#review #prediction #polyadenylation

📃Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends

📘Journal: Healthcare (I.F.=3.160)
🗓Publish year: 2023

📎 Study the paper

📲Channel: @Bioinformatics
#review #disease #prediction #ml

📃Protein–RNA interaction prediction with deep learning: structure matters

💥From abstract: .... In this work, we give a thorough review of this field, surveying both the binding site and binding preference prediction problems and covering the commonly used datasets, features and models. We also point out the potential challenges and opportunities in this field. This survey summarizes the development of the RNA-binding protein–RNA interaction field in the past and foresees its future development in the post-AlphaFold era.

📘Journal: Briefings in Bioinformatics (I.F.=13.994)
🗓Publish year: 2021

📎 Study the paper

📲Channel: @Bioinformatics
#review #binding_site #prediction

📑Computational methods for drug combination prediction: systematic review

📘Journal: Computational and Structural Biotechnology (I.F.=6.155)
🗓Publish year: 2022

📎 Study the paper

📲Channel: @Bioinformatics
#review #drug #prediction

📄Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends

📘journal: HEALTHCARE-BASEL (I.F=2.8)
🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Disease #Prediction #Graph_Machine_Learning #Electronic #Health #Trends #Review

📃Healthcare predictive analytics using machine learning and deep learning techniques: a survey

📘 Journal: Journal of Electrical Systems and Information Technology
🗓 Publish year: 2023

📎 Study the paper

📲Channel: @Bioinformatics
#review #health #prediction #ml #deep

📑Computational Approaches to Predict Protein–Protein Interactions in Crowded Cellular Environments

📔Journal: Chemical Reviews (🔥I.F.=51.4)
🗓Publish year: 2024

🧑‍💻Authors:Greta Grassmann, Mattia Miotto, Fausta Desantis, ...
🏢University: Sapienza University of Rome - Istituto Italiano di Tecnologia, Italy

📎 Study the paper

📲Channel: @Bioinformatics
#review #ppi #protein #prediction

📄 Data resources and computational methods for lncRNA-disease association prediction

📔 Journal: Computers in Biology and Medicine (I.F.=7)
🗓 Publish year: 2023

🧑‍💻Authors:
Nan Sheng, Lan Huang, Yuting Lu, ...

🏢Universities:
Jilin University- Harbin Medical University , China
Aberystwyth University, United Kingdom

📎 Study the paper

📲Channel: @Bioinformatics
#review #lncrna #disease #prediction

📃 Advances and Mechanisms of RNA–Ligand Interaction Predictions

📘 Journal: Life (I.F.=3.2)
🗓 Publish year: 2025

🧑‍💻Authors: Chen Zhuo,Chengwei Zeng,Haoquan Liu, ...
🏢Universities: Central China Normal University & Henan University of Science and Technology, China

📎 Study the paper

📲Channel: @Bioinformatics
#review #rna_ligand #prediction

🎓Application of Machine Learning and Large Language Models in Healthcare for Data Prediction and Summarization

💥MSc thesis from Georgia Southern University, USA

🗓Publish year: 2025

📎 Study thesis

📲Channel: @Bioinformatics
#thesis #msc #machine_learning #prediction #health

📑 Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges

📘 Journal: Frontiers in Pharmacology (I.F.=4.8)
🗓 Publish year: 2025

🧑‍💻Authors: Flaviu-Ioan Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics
🏢University: Palade University of Medicine, Technical University of Cluj-Napoca, Romania

📎 Study the paper

📲Channel: @Bioinformatics
#review #drug #prediction