📑 Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities

📘Journal: Information fusion (I.F.=17.564)
🗓Publish year: 2019

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📲Channel: @Bioinformatics
#review #machine_learning

📄Basics on network theory to analyze biological systems: a hands-on outlook

📘Journal: Functional & Integrative Genomics (I.F= 3.41)
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #biological_network

📃Classification of breast cancer using microarray gene expression data: A survey

📘Journal: Journal of Biomedical Informatics (I.F.=8)
🗓Publish year: 2021

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📲Channel: @Bioinformatics
#review #cancer #microarray

📄 Gene Set Analysis: Challenges, Opportunities, and Future Research

📘Journal: Frontiers in Genetics (I.F.=4.772)
🗓Publish year: 2020

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📲Channel: @Bioinformatics
#review #gene_set

📑Interpretation of differential gene expression results of RNA-seq data: review and integration

📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2019

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📲Channel: @Bioinformatics
#review #gene_expression #rna_seq

📃Machine Learning in Medicine

📘Journal: New England Journal of Medicine (I.F.=176.079)
🗓Publish year: 2019

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📲Channel: @Bioinformatics
#review #machine_learning #medicine

👩‍🏫Free Udemy Course (3 days validity)
💥Introduction to Bioinformatics

🌐 Course link

🎫 Free coupon for 3 day: SARA_YOUSSEF

📲Channel: @Bioinformatics
#course

👨‍🏫 Path to a free self-taught education in Bioinformatics!
💥Recently updated course

🌐 Course details

📲Channel: @Bioinformatics
#course

📑Artificial Intelligence in Healthcare: Review and Prediction Case Studies

📘Journal: Engineering (I.F.=12.834)
🗓Publish year: 2020

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📲Channel: @Bioinformatics
#review #ai #machine_learning #bimedical #healthcare

📁Bioinformatics Guide
💥A guide covering the Bioinformatics including the applications, libraries and tools that will make you a better and more efficient with Bioinformatics development.

🗓 Last update: Jul 26, 2021

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📲Channel: @Bioinformatics
#github #programming

🌐 The ASCA has the website (ascanet.org) and two telegram channels:

🔸News (https://t.iss.one/ascanews), where you can get information about new methods in single-cell analysis, different meetings, bright single-cell researches and outstanding results, etc.
🔸Chat (https://t.iss.one/ascatalk), where you can get technical support in single-cell analysis (just ask your question here) and communicate with other ASCA members.

💥If you have an interest in single-cell analysis, please join the ASCA and Telegram channels.

📲Channel: @Bioinformatics

📑2021 Bioinformatics and Translational Informatics Best Papers

📘Source: Yearbook of Medical Informatics
🗓Publish year: 2022

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📲Channel: @Bioinformatics

📃A bibliometric analysis of natural language processing in medical research

📘Journal: BMC Medical Informatics and Decision Making (I.F.=3.298)
🗓Publish year: 2018

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📲Channel: @Bioinformatics
#review #nlp #medical

📄Computational Methods for Prediction of Human Protein-Phenotype Associations: A Review

📘Journal: Phenomics
🗓Publish year: 2021

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📲Channel: @Bioinformatics
#review #protein #phenotype

📑 A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases

📘Journal: Journal of Integrative Bioinformatics
🗓Publish year: 2019

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📲Channel: @Bioinformatics
#review #gene_prioritization