Sarah Mubeen

According to our database, Sarah Mubeen authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CLEP.

Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández

Dataset, October, 2025

CLEP.

Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández

Dataset, March, 2025

CLEP.

Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández

Dataset, March, 2025

2024

CLEP.

Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández

Dataset, July, 2024

CLEP.

Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández

Dataset, March, 2024

Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk.

Sepehr Golriz Khatami, Astghik Sargsyan, Maria Francesca Russo, Daniel Domingo-Fernández, Andrea Zaliani, Abish Kaladharan, Priya Sethumadhavan, Sarah Mubeen, Yojana Gadiya, Reagon Karki, Stephan Gebel, Ram Kumar Ruppa Surulinathan, Vanessa Lage-Rupprecht, Saulius Archipovas, Geltrude Mingrone, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius, Alpha Tom Kodamullil

Data, 2024

2023

Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions.

Daniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, David Healey, Bryan H. Norman, Viswa Teja S. S. Colluru

J. Cheminformatics, December, 2023

Contextualizing and interpreting biological data with pathway knowledge and network algorithms

Sarah Mubeen

PhD thesis, 2023

2022

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery.

Daniel Domingo-Fernández, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, John C. Rokicki, Viswa Teja S. S. Colluru

PLoS Comput. Biol., 2022

Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets.

Rebeca Queiroz Figueiredo, Sara Díaz del Ser, Tamara Raschka, Martin Hofmann-Apitius, Alpha Tom Kodamullil, Sarah Mubeen, Daniel Domingo-Fernández

BMC Bioinform., 2022

On the influence of several factors on pathway enrichment analysis.

Sarah Mubeen, Alpha Tom Kodamullil, Martin Hofmann-Apitius, Daniel Domingo-Fernández

Briefings Bioinform., 2022

2021

MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms.

Josep Marín-Llaó, Sarah Mubeen, Alexandre Perera-Lluna, Martin Hofmann-Apitius, Sergio Picart-Armada, Daniel Domingo-Fernández

Bioinform., 2021

CLEP: a hybrid data- and knowledge-driven framework for generating patient representations.

Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández

Bioinform., 2021

2020

Drug2ways: Reasoning over causal paths in biological networks for drug discovery.

Daniel Rivas-Barragan, Sarah Mubeen, Francesc Guim Bernat, Martin Hofmann-Apitius, Daniel Domingo-Fernández

PLoS Comput. Biol., 2020

2019

PathMe: merging and exploring mechanistic pathway knowledge.

Daniel Domingo-Fernández, Sarah Mubeen, Josep Marín-Llaó, Charles Tapley Hoyt, Martin Hofmann-Apitius

BMC Bioinform., 2019