activity
20132023
most citedOptimal decoding of information from a genetic network

206 citations · 276 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.MN2023★ 15 cited

Scale invariance in early embryonic development

Miloš Nikolić, Victoria Antonetti, Feng Liu +6

The body plan of the fruit fly is determined by the expression of just a handful of genes. We show that the spatial patterns of expression for several of these genes scale precisel…

q-bio.MN2023★ 19 cited

Finding the last bits of positional information

Lauren McGough, Helena Casademunt, Miloš Nikolić +3

In a developing embryo, information about the position of cells is encoded in the concentrations of "morphogen" molecules. In the fruit fly, the local concentrations of just a hand…

cs.CV2021★ 1 cited

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Zudi Lin, Donglai Wei, Mariela D. Petkova +12

Segmenting 3D cell nuclei from microscopy image volumes is critical for biological and clinical analysis, enabling the study of cellular expression patterns and cell lineages. Howe…

q-bio.MN2020★ 33 cited

Trading bits in the readout from a genetic network

Marianne Bauer, Mariela D. Petkova, Thomas Gregor +2

In genetic networks, information of relevance to the organism is represented by the concentrations of transcription factor molecules. In order to extract this information the cell…

q-bio.MN2018★ 2 cited

Precise spatial scaling in the early fly embryo

Victoria Antonetti, William Bialek, Thomas Gregor +3

The early fly embryo offers a relatively pure version of the problem of spatial scaling in biological pattern formation. Within three hours, a "blueprint" for the final segmented b…

q-bio.QM2018

Deciphering gene regulation from gene expression dynamics using deep neural network

Jingxiang Shen, Mariela D. Petkova, Yuhai Tu +2

Complex biological functions are carried out by the interaction of genes and proteins. Uncovering the gene regulation network behind a function is one of the central themes in biol…

q-bio.MN2016★ 206 cited

Optimal decoding of information from a genetic network

Mariela D. Petkova, Gašper Tkačik, William Bialek +2

Gene expression levels carry information about signals that have functional significance for the organism. Using the gap gene network in the fruit fly embryo as an example, we show…

physics.bio-ph2014

Positional information, positional error, and read-out precision in morphogenesis: a mathematical framework

Gašper Tkačik, Julien O Dubuis, Mariela D Petkova +1

The concept of positional information is central to our understanding of how cells in a multicellular structure determine their developmental fates. Nevertheless, positional inform…

q-bio.TO2013

Precision and reproducibility of macroscopic developmental patterns

Laurent Abouchar, Mariela D. Petkova, Cynthia R. Steinhardt +1

Developmental processes in multicellular organisms occur far from equilibrium, yet produce complex patterns with astonishing reproducibility. We measure the precision and reproduci…

q-bio.MN2013

Maternal origins of developmental reproducibility

Mariela D. Petkova, Feng Liu, Thomas Gregor

Cell fate decisions in multicellular organisms are precisely coordinated, leading to highly reproducible macroscopic outcomes of developmental processes. The origins of this reprod…