Alberto Valdeolivas
@alvaldeolivasScientist in #bioinformatics @Roche. Physicist, Biological networks, System Biology, Spatial Omics, Cancer
Similar User
@PauBadiaM
@JulioSaezRod
@asmundflobak
@BaudotAnais
@LKhamvongsa
@sophia_mullerd
@jan_lanzer
@VeraPancaldi
@OzisikOzan
@Cels121
@ArnauMontagud
@DugourdAjf
@PeralesPaton
@victoriaISruiz
@martingarridorc
Paper is out! Deconvolve cellular composition from bulk gene expression nature.com/articles/s4146…
Check the latest @DR_E_A_M paper, evaluating methods to deconvolve cellular composition from bulk gene expression, with contributions from our (former) @alvaldeolivas & @JulioSaezRod 👇
Paper is out! Deconvolve cellular composition from bulk gene expression nature.com/articles/s4146…
New publication: The Molecular Landscape of Premature Aging Diseases Defined by Multilayer Network Exploration @cecilebeust @alvaldeolivas @AnthBaptista Galadriel Brière, Nicolas Lévy, @OzisikOzan @BaudotAnais doi.org/10.1002/adbi.2…
Hello! We're seeking an intern or master's student for a 6-month exploratory project in spatial analysis. Please share or apply! 😀 careers.roche.com/global/en/job/…
If you like MISTy doi.org/10.1186/s13059…, you'll really like Kasumi doi.org/10.1101/2024.0…. Kasumi is a multi-view explainable representation learning approach, capturing localized relationship-based patterns in tissues across conditions aiming towards facilitating translation
Local heterogeneity of tissues can define their function and predict clinical outcomes. We introduce Kasumi 💻biorxiv.org/content/10.110… to identify spatially localized neighborhoods of intra and intercellular relationships from spatial omics persistent across samples & conditions
Finally out a new paper from the lab lead by @TrimbourR "Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS" doi.org/10.1093/bioinf… #singlecell #multilayernetworks
Local heterogeneity of tissues can define their function and predict clinical outcomes. We introduce Kasumi 💻biorxiv.org/content/10.110… to identify spatially localized neighborhoods of intra and intercellular relationships from spatial omics persistent across samples & conditions
The molecular landscape of premature aging diseases defined by multilayer network exploration @cecilebeust @alvaldeolivas @AnthBaptista @OzisikOzan @BaudotAnais medrxiv.org/content/10.110…
New #preprint We investigated the hypothesis that genes associated with different muscular dystrophy onsets code proteins with distinct cellular functions, using computational approaches. @SGorokhova @MatCerino @Myologie_MMG @anais
System-level analysis of genes mutated in muscular dystrophies reveals a functional pattern associated with muscle weakness distribution biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
New #preprint The molecular landscape of premature aging diseases defined by multilayer network exploration @cecilebeust @alvaldeolivas @AnthBaptista Galadriel Briere, Nicolas Levy, @OzisikOzan @BaudotAnais
The molecular landscape of premature aging diseases defined by multilayer network exploration medrxiv.org/cgi/content/sh… #medRxiv
📣 Introducing LIANA+: an all-in-one cell-cell communication (CCC) framework 🧬 Many tools exist, yet they use various syntaxes and are tailored for a specific purpose LIANA+ harmonises and extends existing methods, enabling their synergistic applications tinyurl.com/lianaplus
🧪 LIANA+ is an #OpenSource #Python framework, available on GitHub: github.com/saezlab/liana-…, with extensive #singlecell and #spatial tutorials: liana-py.readthedocs.io Beyond re-implementations, our framework includes new methods and amplifies insights:
🗺️ Navigating #SpatialOmics: LIANA+ empowers Spatial Analyses. Uncover intricate spatial relationships from global multi-view modelling to fine-grained local metrics @YuanhuaHuang @shazanfar @MarioniLab
Very happy that this is now out.🔥 Many thanks for everyone involved, and to all the developers! 💻 We will keep working on making LIANA+ as robust, user-friendly and extensive as possible!🎯
📣 Introducing LIANA+: an all-in-one cell-cell communication (CCC) framework 🧬 Many tools exist, yet they use various syntaxes and are tailored for a specific purpose LIANA+ harmonises and extends existing methods, enabling their synergistic applications tinyurl.com/lianaplus
United States Trends
- 1. Gaetz 739 B posts
- 2. Ken Paxton 7.957 posts
- 3. Attorney General 188 B posts
- 4. Volvo 13 B posts
- 5. Gary Gensler 22,7 B posts
- 6. Mike Davis 2.755 posts
- 7. Andrew Bailey 2.120 posts
- 8. ICBM 215 B posts
- 9. Rubio's Senate 6.998 posts
- 10. 119th Congress 4.451 posts
- 11. Jussie Smollett 17,4 B posts
- 12. Dragon Believer 1.015 posts
- 13. The ICC 353 B posts
- 14. Denver 39,8 B posts
- 15. Netanyahu 698 B posts
- 16. Illinois Supreme Court 15,7 B posts
- 17. $SOLCAT 4.853 posts
- 18. Mark Levin N/A
- 19. Deion 5.960 posts
- 20. Flat 52,2 B posts
Who to follow
-
Pau Badia i Mompel
@PauBadiaM -
Julio Saez-Rodriguez
@JulioSaezRod -
Åsmund Flobak
@asmundflobak -
Anaïs Baudot
@BaudotAnais -
Lucie Khamvongsa
@LKhamvongsa -
Sophia Müller-Dott
@sophia_mullerd -
Jan Lanzer
@jan_lanzer -
Vera Pancaldi verapancaldi.bsky.social
@VeraPancaldi -
Ozan Özışık
@OzisikOzan -
Celia Lerma Martin
@Cels121 -
Arnau Montagud
@ArnauMontagud -
Aurelien Dugourd
@DugourdAjf -
Javier Perales-Patón
@PeralesPaton -
Victoria Ruiz
@victoriaISruiz -
Martín Garrido Rordríguez-Córdoba
@martingarridorc
Something went wrong.
Something went wrong.