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Posts by Rita Martins-Silva

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3 weeks ago 0 1 0 0
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The Lab was well represented at the Bioinformatics Open Days @uminho.bsky.social (25-27 March), with Nuno giving a keynote lecture and @a-kaizeler.bsky.social, Francisca, and @ritamtbs.bsky.social presenting posters.

3 weeks ago 0 1 1 0
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Happy International Day of Women and Girls in Science! πŸ‘©β€πŸ”¬

2 months ago 4 1 0 0
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On World Cancer Day, Francisca's PhD project was awarded an Oncology Research Grant by the Portuguese League Against Cancer (Southern Regional Center) and the Benfica Foundation, to support her work on testing predictive biomarkers of therapeutic response in rectal cancer. πŸ™πŸ¦€βš•οΈπŸ’ͺ

2 months ago 4 3 0 0
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We are proud of the Lab's participation in the CAML & GIMM PhD Meeting this week: @a-kaizeler.bsky.social, @ritamtbs.bsky.social and Francisca eloquently presented their work to their colleagues πŸ‘. @ritamtbs.bsky.social won the award for Best Poster Presentation by a 4th year PhD student! πŸ₯‡

2 months ago 4 2 0 0

Following the @bioconductor.bsky.social package, the @biorxivpreprint.bsky.social preprint: "Exploring molecular signatures of senescence with markeR, an R toolkit for evaluating gene sets as phenotypic markers". πŸ’»πŸ§¬πŸ“°
πŸ‘ @ritamtbs.bsky.social πŸ’ͺ
www.biorxiv.org/content/10.6...

4 months ago 3 3 0 0

Exploring molecular signatures of senescence with markeR, an R toolkit for evaluating gene sets as phenotypic markers www.biorxiv.org/content/10.64898/2025.12...

4 months ago 2 1 0 0

Do you want to know more on what the PhD with us is about? πŸ™‚
We are still looking for the perfect candidate! πŸ”Ž
Please spread the word! πŸ™

5 months ago 5 5 0 0
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πŸš€ Exciting news: markeR is now available in the Bioconductor development version and will be part of the new release 3.22, scheduled for October 29! πŸŽ‰
Give it a try and let us know what you think! πŸ”— bioconductor.org/packages/dev...

6 months ago 4 0 1 2

@nmoraislab.bsky.social #Rpackage #Transcriptomics #RNAseq #GeneSets

9 months ago 0 0 0 0
markeR provides a suite of methods for using gene sets to quantify and evaluate the extent to which a given gene signature marks a specific phenotype from gene expression data. The package implements various scoring and enrichment approaches, along with tools to compute performance metrics and visualize results.

markeR provides a suite of methods for using gene sets to quantify and evaluate the extent to which a given gene signature marks a specific phenotype from gene expression data. The package implements various scoring and enrichment approaches, along with tools to compute performance metrics and visualize results.

We’re wrapping up the development of markeR, an πŸ“¦ R package to quantify phenotypes from gene sets. Working with RNA-seq and trying to quantify things like senescence or inflammation? Give it a spin and share feedback!
Install & tutorials: github.com/DiseaseTrans...
πŸ“„ Paper coming soon... Stay tuned!

9 months ago 4 1 1 2

Kudos to Daniel for the outstanding development of an approach to identify actigraphy-based markers of split shift work in submariners in a smooth interdisciplinary collaboration with CΓ‘tia Reis @gimmfoundation.bsky.social . β˜€οΈπŸŒ’πŸ’ͺ Feedback is most welcome! πŸ™‚
www.biorxiv.org/content/10.1...

10 months ago 2 3 0 0

πŸŽ‰ BIOMICS just went socialite β€” next stop: science influencer status 😎🧬
Follow us, share us, love us (for science, of course).

πŸ“’ We’re everywhere:
X: @BiomicsTwinning
YouTube: @BIOMICSTwinning
LinkedIn: biomics-twinning
Bluesky: biomics-twinning.bsky.social

#BIOMICS #TwinningProject #SciComm

10 months ago 5 4 0 0

We are delighted to lead @ec.europa.eu-funded BIOMICS (coordinated by Nuno and managed by @dianavieira.bsky.social) and partner with @embl.org (as well as @crg.eu and @ethzurich.bsky.social) in advancing biomedical data science and fostering critical thinking. Stay tuned: official launch in January!

1 year ago 7 2 0 0
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We kick off our activity in Bluesky expressing our pride of Francisca and Jacek (@jacolm.bsky.social) for an excellent job yesterday, explaining machine learning approaches for biomarker discovery to oncobiologists at GIMM. πŸ‘

1 year ago 5 3 0 0