Author

Ediem Al-Jibury

MRC London Institute of Medical SciencesORCID 0000-0003-2466-0989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:Hi-C· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Matthias MerkenschlageriD· 2 shared Alessandro Carlino· 1 shared Alexandra Maslova· 1 shared Bryce CollisoniD· 1 shared Eleonora De VitisiD· 1 shared Francesco De VirgiliisiD· 1 shared Franziska Müller· 1 shared Guiping KongiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Matthias MerkenschlagerORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 9, 2024

Three-dimensional chromatin mapping of sensory neurons reveals that cohesin-dependent genomic domains are required for axonal regeneration

Ilaria Palmisano, Tong Liu, Wei Gao…·Simone Di Giovanni

This study maps the 3D chromatin architecture of adult sensory neurons and shows cohesin is required for axonal regeneration by organizing genomic domains.

DOI 10.1101/2024.06.09.597974

mouseHi-C

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GenomicsNature CommunicationsPeer-reviewedJun 28, 2022

Hi-C-LSTM: Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformation

Kevin Bradley Dsouza, Alexandra Maslova, Ediem Al-Jibury…·Maxwell W. Libbrecht

Hi-C-LSTM uses a recurrent neural network to learn low-dimensional representations of Hi-C data, enabling the identification of genomic elements that define chromatin conformation.

16 citations

Hi-Cdeep learning

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