📑 Ten quick tips for machine learning in computational biology

📘Journal: BioData Mining (I.F.=2.522)
🗓Publish year: 2017

💥 Abstract: Machine learning has become a pivotal tool for many projects in computational biology, bioinformatics, and health informatics. Nevertheless, beginners and biomedical researchers often do not have enough experience to run a data mining project effectively, and therefore can follow incorrect practices, that may lead to common mistakes or over-optimistic results. With this review, we present ten quick tips to take advantage of machine learning in any computational biology context, by avoiding some common errors that we observed hundreds of times in multiple bioinformatics projects. We believe our ten suggestions can strongly help any machine learning practitioner to carry on a successful project in computational biology and related sciences.

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📲Channel: @Bioinformatics

👨‍💼All about Biological Engineering related jobs
(including Biomedical and Computational Biology occupations)

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📲Channel: @Bioinformatics

🎓Invitation to Online Thesis Defense Session (Everyone is welcome)

💥Title: Computational Prediction and Identification of the Order of Changes Between Brain Regions in Alzheimer's Disease Stages via Mixed Link Prediction

🇮🇷In Persian (But we will try to provide a short clip in English after the event for other registered users)

🗓 Date: Sunday, February, 20th, 2022
🕦 Time: 12:30 pm (IRST)

✍🏻 Registration

📲Channel: @Bioinformatics

🧑‍🏫 Top free online Bioinformatics courses

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📲Channel: @Bioinformatics

📃Network embedding in biomedical data science

📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2020

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📲Channel: @Bioinformatics

👨‍🏫 An Open-Source and Interactive Learning Environment for Bioinformatics

💥From Abstract: Lockdowns and “stay-at-home” orders, starting in March 2020, shuttered bench and field dependent research across the world as a consequence of the global COVID-19 pandemic. The pandemic continues to have an impact on research progress and career development, especially for graduate students and early career researchers, as strict social distance limitations stifle ongoing research and impede in-person educational programs. The goal of the Bioinformatics Virtual Coordination Network (BVCN) was to reduce some of these impacts by helping research biologists learn new skills and initiate computational projects as alternative ways to carry out their research. The BVCN was founded in April 2020...

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📲Channel: @Bioinformatics

🗃 A curated list of Bioinformatics software, resources, and libraries
Mostly command line based, and free or open-source

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📲Channel: @Bioinformatics

@llbschool NyBerMan Bioinformatics Europe organizing 2 days Virtual Workshop on Post Molecular Dynamics Simulation analysis in GROMACS

🧑‍🏫 Trainer :
Dr. Shiv bharadwaj & Team
Prague, Czech Republic.

The workshop focuses on the following
🪧 Post-MD simulations analysis tools using GROMACS and covers the basics to advanced tools such as Stability analysis, Interaction analysis, Principle Component Analysis, MMGPSA calculations, etc.
🪧Will also help you frame the right questions and hypotheses while analyzing your MD trajectories.
🪧 All the analysis will be taught using both Protein and Protein-Ligand complex.

🪑Total Available seats : 40

✍️ Registration link :
https://tinyurl.com/nybermd

Benefits of the workshop
📄 A chance to write an MD analysis protocol and publish it in our https://loopsnstrands.com/
📄The Merit certificates are provided with mentioning grades, only upon strict evolutions of every individual written pipeline.

Any queries contact us via telegram


📲Channel: @Bioinformatics

🎞Exploring genotype phenotype data using the GWAS Catalog

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📲Channel: @Bioinformatics

📑Data Integration Challenges for Machine Learning in Precision Medicine

📘Journal: Frontiers in Medicine (I.F.=5.091)
🗓Publish year: 2022

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📲Channel: @Bioinformatics

📑Collaborative analysis of genomic data: vision and challenges

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📲Channel: @Bioinformatics

📣 Q&A - 6th Bioinformatics Conference 📣
🇪🇸 Training and professional perspectives in Bioinformatics in Spain

🗓 Date: 25 February 2022
🕖 Time: From 19:00h to 20:30h, CET

ℹ️ Registration + information:
📎 https://buff.ly/3IcaBlt

📲Channel: @Bioinformatics

📄Deep learning shapes single-cell data analysis

💥Deep learning has tremendous potential in single-cell data analyses, but numerous challenges and possible new developments remain to be explored. In this commentary, we consider the progress, limitations, best practices and outlook of adapting deep learning methods for analysing single-cell data.

📘Journal: Nature Reviews Molecular Cell Biology (I.F.=94.444)
🗓Publish year: 23 February 2022

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📲Channel: @Bioinformatics