Elba Raimúndez

About Elba Raimúndez

Elba Raimúndez, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn,

His recent articles reflect a diverse array of research interests and contributions to the field:

Posterior marginalization accelerates Bayesian inference for dynamical models of biological processes

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models

Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infectious contacts

Assessment of prediction uncertainty quantification methods in systems Biology

Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF

Efficient Bayesian parameter estimation applied to mechanistic models of gastric cancer signaling

PEtab

PEtab—interoperable specification of parameter estimation problems in systems biology

Elba Raimúndez Information

University

Position

___

Citations(all)

283

Citations(since 2020)

283

Cited By

56

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Top articles of Elba Raimúndez

Posterior marginalization accelerates Bayesian inference for dynamical models of biological processes

Iscience

2023/11/17

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models

Bioinformatics

2023/11/1

Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infectious contacts

Epidemics

2023/6/1

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

Assessment of prediction uncertainty quantification methods in systems Biology

IEEE/ACM Transactions on Computational Biology and Bioinformatics: 15455963

2023

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

Combining gene expression analysis of gastric cancer cell lines and tumor specimens to identify biomarkers for anti-HER therapies—the role of HAS2, SHB and HBEGF

BMC cancer

2022/3/9

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

Efficient Bayesian parameter estimation applied to mechanistic models of gastric cancer signaling

2022

PEtab—interoperable specification of parameter estimation problems in systems biology

PLoS computational biology

2021/1/26

HER2 Expression, Test Deviations, and Their Impact on Survival in Metastatic Gastric Cancer: Results From the Prospective Multicenter VARIANZ Study

Journal of Clinical Oncology

2021/5/1

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling.

Epidemics

2021/1/29

Determining the effects of trastuzumab, cetuximab and afatinib by phosphoprotein, gene expression and phenotypic analysis in gastric cancer cell lines

BMC cancer

2020/12

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines

PLOS Computational Biology

2020/3/2

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

Correction to: Determining the effects of trastuzumab, cetuximab and afatinib by phosphoprotein, gene expression and phenotypic analysis in gastric cancer cell lines

BMC cancer

2020

Elba Raimúndez
Elba Raimúndez

H-Index: 4

Jan Hasenauer
Jan Hasenauer

H-Index: 29

See List of Professors in Elba Raimúndez University(Rheinische Friedrich-Wilhelms-Universität Bonn)