Gene regulatory networks

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From Genome to Function: AI Predicts Gene Regulation in Newly Sequenced Plants
ByAnshika Gupta May 3, 2024October 22, 2026

A recent study published in Nature Communications explored the relationship between gene expression prediction and the use of deep learning models, which are the most advanced models or architectures in the domain of machine learning. Fritz Forbang Peleke and Jędrzej Szymański head the group to uncover the role of non-coding regulatory elements in gene expression…

Read More From Genome to Function: AI Predicts Gene Regulation in Newly Sequenced Plants
AI | Big Data | Bioinformatics | Computational Models | Gene Expression | Genomics | Machine Learning | News | OMICS | Paper Summary | RNA-Seq | Tools | Trending

Decoding the Regulatory Landscape with LINGER: A New Era in Gene Regulatory Networks Inference
ByDeotima Chakraborty April 27, 2024October 22, 2026

Despite the difficulties presented by the current methods depending solely on gene expression data, RNA sequencing data has been incorporated into Gene regulatory networks (GRN) inference methods, improving the capacity to learn complicated pathways from a few independent data points. Here, scientists offer LINGER (Lifelong neural network for gene regulation), a machine-learning technique that uses…

Read More Decoding the Regulatory Landscape with LINGER: A New Era in Gene Regulatory Networks Inference
AI | Bioinformatics | Deep Learning | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation
ByNeegar Naushaba Iqbal August 23, 2023August 23, 2023

Understanding cellular responses to genetic changes holds vital importance in various biomedical contexts, such as uncovering cancer-related genetic interactions and advancing regenerative medicine. However, the vast number of potential multigene alterations poses a challenge for practical experimentation. In this regard, a novel method called the graph-enhanced gene activation and repression simulator (GEARS) has been introduced…

Read More Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation

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