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Tsega Desta

Researcher at Allen Institute for Brain Science

Publications -  14
Citations -  6626

Tsega Desta is an academic researcher from Allen Institute for Brain Science. The author has contributed to research in topics: Neocortex & Interneuron. The author has an hindex of 11, co-authored 14 publications receiving 5298 citations.

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Genome-wide atlas of gene expression in the adult mouse brain

Ed S. Lein, +109 more
- 11 Jan 2007 - 
TL;DR: An anatomically comprehensive digital atlas containing the expression patterns of ∼20,000 genes in the adult mouse brain is described, providing an open, primary data resource for a wide variety of further studies concerning brain organization and function.
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An anatomic transcriptional atlas of human glioblastoma

TL;DR: The Ivy Glioblastoma Atlas is presented, an anatomically based transcriptional atlas of human gliOBlastoma that aligns individual histologic features with genomic alterations and gene expression patterns, thus assigning molecular information to the most important morphologic hallmarks of the tumor.
Journal ArticleDOI

Classification of electrophysiological and morphological neuron types in the mouse visual cortex.

TL;DR: A single-cell characterization pipeline is established using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions to establish a morpho-electrical taxonomy of cell types for the mouse visual cortex via unsupervised clustering analysis of multiple quantitative features.
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A comprehensive transcriptional map of primate brain development

Trygve E. Bakken, +98 more
- 21 Jul 2016 - 
TL;DR: A high-resolution transcriptional atlas of rhesus monkey (Macaca mulatta) brain development is described that combines dense temporal sampling of prenatal and postnatal periods with fine anatomical division of cortical and subcortical regions associated with human neuropsychiatric disease.
Journal ArticleDOI

Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.

TL;DR: 28 met- types are defined that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability, and layer-specific axon innervation pattern is identified as a defining feature distinguishing different met-types.