E-LIB Suche - Ergebnisse für: Burkholz, Rebekka

1

Biologically informed NeuralODEs for genome-wide regulatory..:

Hossain, Intekhab ; Fanfani, Viola ; Fischer, Jonas..
Genome Biology. 25 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

2

The Network Zoo: a multilingual package for the inference a..:

Ben Guebila, Marouen ; Wang, Tian ; Lopes-Ramos, Camila M....
Genome Biology. 24 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..

3

DRAGON: Determining Regulatory Associations using Graphical..:

Shutta, Katherine H ; Weighill, Deborah ; Burkholz, Rebekka...
Nucleic Acids Research. 51 (2022) 3 - p. e15-e15 , 2022

Link: https://doi.org/10.1093/..

4

An online notebook resource for reproducible inference, ana..:

Ben Guebila, Marouen ; Weighill, Deborah ; Lopes-Ramos, Camila M....
Nature Methods. 19 (2022) 5 - p. 511-513 , 2022

Link: https://doi.org/10.1038/..

5

GRAND: a database of gene regulatory network models across ..:

Ben Guebila, Marouen ; Lopes-Ramos, Camila M ; Weighill, Deborah...
Nucleic Acids Research. 50 (2021) D1 - p. D610-D621 , 2021

Link: https://doi.org/10.1093/..

6

Improving 1-year mortality prediction in ACS patients using..:

Weichwald, Sebastian ; Candreva, Alessandro ; Burkholz, Rebekka...
European Heart Journal. Acute Cardiovascular Care. 10 (2021) 8 - p. 855-865 , 2021

Link: https://doi.org/10.1093/..

7

Glycowork: A Python package for glycan data science and mac..:

Thomès, Luc ; Burkholz, Rebekka ; Bojar, Daniel
Glycobiology. 31 (2021) 10 - p. 1240-1244 , 2021

Link: https://doi.org/10.1093/..

8

Using graph convolutional neural networks to learn a repres..:

Burkholz, Rebekka ; Quackenbush, John ; Bojar, Daniel
Cell Reports. 35 (2021) 11 - p. 109251 , 2021

Link: https://doi.org/10.1016/..

9

Efficient message passing for cascade size distributions:

Burkholz, Rebekka
Scientific Reports. 9 (2019) 1 - p. , 2019

Link: https://doi.org/10.1038/..

10

International crop trade networks: the impact of shocks and..:

Burkholz, Rebekka ; Schweitzer, Frank
Environmental Research Letters. 14 (2019) 11 - p. 114013 , 2019

Link: https://doi.org/10.1088/..

11

Correlations between thresholds and degrees: An analytic ap..:

Burkholz, Rebekka ; Schweitzer, Frank
Physical Review E. 98 (2018) 2 - p. , 2018

Link: https://doi.org/10.1103/..

12

Explicit size distributions of failure cascades redefine sy..:

Burkholz, Rebekka ; Herrmann, Hans J. ; Schweitzer, Frank
Scientific Reports. 8 (2018) 1 - p. , 2018

Link: https://doi.org/10.1038/..

13

Framework for cascade size calculations on random networks:

Burkholz, Rebekka ; Schweitzer, Frank
Physical Review E. 97 (2018) 4 - p. , 2018

Link: https://doi.org/10.1103/..

14

How damage diversification can reduce systemic risk:

Burkholz, Rebekka ; Garas, Antonios ; Schweitzer, Frank
Physical Review E. 93 (2016) 4 - p. , 2016

Link: https://doi.org/10.1103/..

15

Systemic risk in multiplex networks with asymmetric couplin..:

Burkholz, Rebekka ; Leduc, Matt V. ; Garas, Antonios.
Physica D: Nonlinear Phenomena. 323-324 (2016) - p. 64-72 , 2016

Link: https://doi.org/10.1016/..