Lucrezia Valeriani
@lucrevaleriani
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PhD in Applied Data Science and Artificial Intelligence @ UniTS and AREA Science Park | Interested in the application of ML and DL to Genomic data
Trieste
Joined March 2022
Happy to be in Boston to present nf-core/tumourevo pipeline, a joint effort from all the Cancer Data Science Lab at @UniTrieste! Thank to our PI @gcaravagna and @niccalonaci for the supervision and also to my colleagues for the effort! Check out at
nf-co.re
Analysis pipleine to model tumour clonal evolution from WGS data (driver annotation, quality control of copy number calls, subclonal and mutational signature deconvolution)
📝@nf_core /tumourevo: accelerates understanding in tumour evolution.👩‍💻 Author: Lucrezia Valeriani from the University of Trieste.👉 Poster:
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Thanks again to @elenabuscaroli @GiorgiaGandolf1 @Virgia999 and all the other members of the CDS lab!.
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nf-core/tumourevo detects and characterises tumour evolutionary patterns by leveraging machine learning methods, linking subclonal expansions to specific driver mutations and mutational processes. The pipeline is available as development version on @nf_core. Get in touch!
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The pipeline can analyse large patient cohorts with longitudinal and/or multi-sample data. It takes as an input somatic variant vcf file and copy number calls from state-of-the-art available tools. [2]
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@albecazzaniga @AreaSciencePark nf-core/tumourevo is an open-source, scalable, and reproducible workflow designed to facilitate evolutionary analysis of next-generation sequencing (NGS) data from tumour samples [1]
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Also thank you to my supervisor @albecazzaniga and @AreaSciencePark for the opportunity to be in Boston to present our work!.
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RT @francescortu: 🚨🚨 Excited to share our latest paper, now on @arxiv!. 🖼️ We studied how unified VLMs, trained to generate both text and i….
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RT @DiegoDoimo: I just landed in Vancouver to present @NeurIPSConf the findings of our new work!. Few-shot learning and fine-tuning change….
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RT @alexrives: We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming….
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RT @DiegoDoimo: Can changes in the geometry of hidden representations of transformers help identify the layers that encode semantic-rich fe….
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RT @albecazzaniga: We will present our work “The geometry of hidden representations of large transformer models” at #NeurIPS2023. Great eff….
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RT @albecazzaniga: Open expression of interest for two postdoc positions in #cancer #datascience at @AreaSciencePark and @UniTS on a joint….
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RT @albecazzaniga: We increase protein family annotation of the Unified Human Gastrointestinal Proteome (UHGP) using DPCfam clustering. Ni….
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RT @alexrives: Today we're releasing the structures of over 600M metagenomic proteins—the least understood proteins on earth. A view into t….
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