Las grandes reformas al derecho de familia en el proyecto de Código Civil y Comercial argentino 2012

2013/01/01 by Pau Badia-i-Mompel, Lorna Wessels, Sophia Müller‐Dott +5 · 1 voice · 29 citations
Biochemistry, Genetics and Molecular Biology · Social Sciences · #Artificial intelligence #Benchmarking #Biology #Chromatin #Comparative International Legal Studies #Computational biology #Computer science #Data science #Family and Matrimonial Law #Gene #Gene Regulatory Network Analysis #Gene expression #Gene expression and cancer classification #Gene regulatory network #Genetics #Humanities #Inference #Legal processes and jurisprudence #Leverage (statistics) #Philosophy #Political science #Single-cell and spatial transcriptomics #Systems biology #Transcription factor #Transcriptome

paper · doi:10.1038/s41576-023-00618-5

published in Anuario uruguayo crítico de derecho de familia y sucesiones: doctrina, jurisprudencia, temas procesales y registrales 24(1), 75-92 (Nature Portfolio)

openalex publication_date 2013/01/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/04/28

Abstract

The interplay between chromatin, transcription factors and genes generates complex regulatory circuits that can be represented as gene regulatory networks (GRNs). The study of GRNs is useful to understand how cellular identity is established, maintained and disrupted in disease. GRNs can be inferred from experimental data - historically, bulk omics data - and/or from the literature. The advent of single-cell multi-omics technologies has led to the development of novel computational methods that leverage genomic, transcriptomic and chromatin accessibility information to infer GRNs at an unprecedented resolution. Here, we review the key principles of inferring GRNs that encompass transcription factor-gene interactions from transcriptomics and chromatin accessibility data. We focus on the comparison and classification of methods that use single-cell multimodal data. We highlight challenges in GRN inference, in particular with respect to benchmarking, and potential further developments using additional data modalities.

Citations

• Genetic regulatory mechanisms in the synthesis of proteins
• RNA velocity of single cells

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Discussions

• Very happy to see that our review on gene regulatory networks is being featured by Nature Reviews Genetics and that it inspired its cover! 🥳 doi.org/10.1038/s415... [bsky, 21 points, 0 comments]

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