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ProteomicsMapping functional non-coding variation in individual human genomes through haplotyping, multiomics, and deep learning
Most genetic variants in the human genome reside in non-coding regions, where they can perturb regulatory elements, influence gene expression, and contribute to various phenotypes and diseases. However, identifying such functionally relevant genetic variation remains challenging. Here we integrate p...
ORGANISM(S): Homo sapiens (Human) 
2026-04-22 | PXD069116 | Pride
Lc-msms Non-coding variants Deep learning 
ProteomicsDynamic regulatory grammar of human promoters uncovered by MPRA-trained deep learning
One of the major challenges in genomics is to build computational models that accurately predict genome-wide gene expression from the sequences of regulatory elements. Promoters play a key role in gene regulation, yet their regulatory logic remains incompletely understood. Here, we present PARM, a c...
ORGANISM(S): Homo sapiens (Human) 
2026-01-14 | PXD072017 | Pride
Synthetic biology Massively parallel reporter assay Convolutional neural network Promoter Gene regulation Transcription factor Deep learning in genomics. Genetics 
UnknownDeep Learning with Neuroimaging and Genomics in Alzheimer's Disease.
Not available
S-EPMC8347529 | biostudies-literature
UnknownDeep learning for genomics using Janggu.
Not available
S-EPMC7359359 | biostudies-literature
GenomicsA Deep Learning Approach For Programmable RNA Switches
A Deep Learning Approach For Programmable RNA Switches
PRJNA627694 | ENA
UnknownGenomics enters the deep learning era.
Not available
S-EPMC9235815 | biostudies-literature
TranscriptomicsGBM-Space: Joint Transcriptome and Chromatin Accessibility Profiling of Glioblastoma (10x Genomics - Multiome)
Cancer cells display highly heterogeneous and plastic states in glioblastoma, an incurable brain tumour. However, how these malignant states arise and whether they follow defined cellular trajectories across tumours is poorly understood. Here, we generated a deep single cell and spatial multi-omic a...
ORGANISM(S): Homo sapiens 
2026-09-12 | E-MTAB-17183 | biostudies-arrayexpress
UnknownDesigning interpretable deep learning applications for functional genomics: a quantitative analysis.
Not available
S-EPMC11410376 | biostudies-literature
GenomicsDeep learning design of programmed enhancer pairs [DAF-Seq]
Deep learning design of programmed enhancer pairs [DAF-Seq]
PRJNA1445863 | ENA
GenomicsDeep learning design of programmed enhancer pairs [RNA-seq]
Deep learning design of programmed enhancer pairs [RNA-seq]
PRJNA1446705 | ENA
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