Author

Joseph L. Natale

Emory University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Ilya M. NemenmaniD· 2 shared Damián G. HernándeziD· 1 shared David Hofmann· 1 shared H. G. E. Hentschel· 1 shared

Activity by Year

2017-2020 · peak 1/yr

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4 top collaborators · 4 mutual co-author links

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2 shared papersNeuroscience

Ilya M. NemenmanORCID

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2 papers

Recent·Most cited

NeurosciencePhysical review. EPeer-reviewedAug 13, 2020

Precise Spatial Memory in Local Random Networks

Joseph L. Natale, H. G. E. Hentschel, Ilya M. Nemenman

This paper introduces a geometrically-embedded neural network model with random connectivity that achieves spatial memory through attractor dynamics without requiring structured synapses.

4 citations

statistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 28, 2017

Reverse-Engineering Biological Networks From Large Data Sets

Joseph L. Natale, David Hofmann, Damián G. Hernández, Ilya M. Nemenman

This paper reviews the field of reverse-engineering biological networks, discussing methodologies, applications, and the justification for large-scale computational approaches in systems biology.

17 citations

metabolomicsproteomics

𝕏 PostBluesky