Scientists at La Jolla Institute for Immunology have developed a new computational method for linking molecular marks on our DNA to gene activity, using…
Browsing: Gene Expression
Scientists at La Jolla Institute for Immunology have developed a new computational method for linking molecular marks on our DNA to gene activity, which…
Scientists at La Jolla Institute for Immunology have developed a new computational method using machine learning to link molecular marks on DNA to gene…
This article discusses the intersection of genomics and deep learning, highlighting the potential for revolutionizing fields such as precision medicine and agriculture. It explores…
This article discusses the use of interpretable machine learning to analyze large omics data sets and identify patterns and associations among features. The authors…
This article discusses a study that integrated gene expression profiles of hepatocellular carcinoma (HCC) patients, chronic hepatitis B (CHB) patients, and healthy individuals to…
This paper proposes a bio-inspired CNN model for breast cancer detection using gene expression data from the cancer genome atlas (TCGA). The data contains…
This study by researchers at New York University, Columbia Engineering, and the New York Genome Center combines a deep learning model with CRISPR screens…
This article discusses the development of a deep-learning model called Geneformer, which is used to map gene networks and identify potential drug targets. The…
This study from Weill Cornell Medicine investigators leveraged machine learning to analyze neuroimaging data from 299 people with autism and 907 neurotypical people. They…