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๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ Profile
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ

@tiberi_simone

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๐Ÿ‡ฎ๐Ÿ‡น Assistant Professor, Dept of Statistics, University of Bologna Statistician developing methods for analyzing omics data.

Bologna, Italy
Joined November 2018
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 month
DESpace2: a novel framework to compare spatial expression patterns between conditions (e.g., healthy vs. diseased), from spatial omics data. Aim: identifying genes with distinct spatial structures (DSP) between groups of samples. 1/3
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
11 days
RT @BoyanSlat: Excited to announce that @TheOceanCleanup is massively scaling up Interceptor projects in the coming years!. โœ…30 Cities. โœ…Stโ€ฆ.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
29 days
RT @TheOceanCleanup: IMPACT UPDATE: In the first half of 2025, we caught more trash than in all of 2024 combined! This adds up to over 30,0โ€ฆ.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 month
We incorporated the approach within DESpace Bioconductor package, with a novel dedicated vignette. bioRxiv: Bioc Package: DSP Vignette: Work from Peiying Cai (PhD at UZH), @markrobinsonca and myself. 3/3
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 month
Input: multi-sample multi-condition spatial omics data, and pre-computed spatial clusters/domains. Analysis:.- pseudo-bulk counts within each spatial cluster;.- compare (via edgeR) spatial expression structures among 2+ groups of samples;.- identify DSP genes. 2/3
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
2 months
RT @TheOceanCleanup: BREAKING: The Ocean Cleanup just announced the next big step in scaling Interceptor deployments worldwide: a 30-city pโ€ฆ.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
6 months
RT @KVittingSeerup: My Colleague Morten Nielsen is looking for both ML PhD and Postdocs:. Postdoc in T Cell Immunoinformatics:. https://t.coโ€ฆ.
healthtech.dtu.dk
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
8 months
RT @TheOceanCleanup: 2024 was ๐Ÿคฏ
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
9 months
RT @KVittingSeerup: There is still a bit more than a week for people to apply ๐Ÿ˜‰.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
10 months
RT @KVittingSeerup: ๐Ÿšจ PhD Opportunity Alert! ๐Ÿšจ. We are thrilled to offer a three-year, fully funded PhD position in Deep Generative Modelsโ€ฆ.
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efzu.fa.em2.oraclecloud.com
Are you passionate about cutting-edge deep learning, generative models and bioinformatics? This fully funded PhD position offers a unique opportunity to work at the forefront these fields, directly...
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
11 months
RT @LEOrtensi: Few in-person places still available. Join us in beautiful Capri to learn about methological aspects of the study of violencโ€ฆ.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 year
Many thanks to all co-authors:.- Joel Meili (former MSc student at.@markrobinsonca.lab).- Peiying Cai (PhD student at.@markrobinsonca.lab).- @CSoneson.- @DongzeHe.- @hrksrkr.- @AleAviP.- @nomad421.- @markrobinsonca.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 year
*DifferentialRegulation* out in Biostatistics: A Bayesian hierarchical method to identify differences in splicing dynamics (i.e. gene regulation) between conditions. It works on bulk and single-cell RNA-seq. Also on Bioconductor:
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
2 years
DifferentialRegulation pre-print online -> *DifferentialRegulation* studies how splicing dynamics change between experimental conditions. It is based on a Bayesian hierarchical method (multiple samples) with latent states (for multi-mapping reads).
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 year
RT @tiberi_simone: *NEW pre-print*. IsoBayes: a Bayesian approach for single-isoform proteomics inference. A statiโ€ฆ.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 year
Key ideas:. - allocating peptide-level data to the protein isoform(s) each peptide maps to. -> hence going from peptide- to protein-level data. - enhance the available data by integrating MS and (short or long) RNA-seq data via informative priors. -> improving accuracy.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 year
I thank all the people contributed to this work. In particular, I want to mention:.- Jordy Bollon, for performing most of the analyses;.- Michael Shortreed, for his proteomics support;.- Gloria Sheynkman, for the idea of the project, and for coordinating the biological analyses.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
1 year
*NEW pre-print*. IsoBayes: a Bayesian approach for single-isoform proteomics inference. A statistical method to study proteins at the isoform-level, from mass spectrometry data. Available on Bioconductor ๐Ÿ‘‡.
@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
2 years
*IsoBayes* now on Bioconductor -> Single-isoform proteomics inference tool.
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
2 years
RT @thematthewcooke: My favorite search engine @ecosia dedicates 100% of its profits to the planet. We're so close to 200 million trees. Giโ€ฆ.
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ecosia.co
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
2 years
DESpace final version now in Bionformatics: Huge congrats to Peiying Cai (@markrobinsonca lab) for her hard work and persistence.
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academic.oup.com
AbstractMotivation. Spatially resolved transcriptomics (SRT) enables scientists to investigate spatial context of mRNA abundance, including identifying spa
@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
2 years
DESpace: a new method to discover spatially variable genes (SVGs). DESpace is on Bioconductor: Here is a pre-print: Work from Peiying Cai, @markrobinsonca and myself. A short thread. 1/5
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@tiberi_simone
๐Ÿ‡ต๐Ÿ‡ธ Simone Tiberi ๐Ÿ‡ต๐Ÿ‡ธ
2 years
Further details:.- 12 month position;.- net salary ~1,420 euros per month.
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