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All papers authored by Joske Ubels

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2023 Joske Ubels

ORCID

, Pieter Sonneveld, Martin H. van Vliet, Jeroen de Ridder

Fold Assignment from Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Joske Ubels

ORCID

, Pieter Sonneveld, Martin H. van Vliet, Jeroen de Ridder

Data from Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Joske Ubels

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, Pieter Sonneveld, Martin H. van Vliet, Jeroen de Ridder

Supplementary Data from Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma

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2022 Karlijn A. L. Hasaart, Freek Manders

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, Joske Ubels

ORCID

, Mark Verheul, Markus J. van Roosmalen, Niels M. Groenen, Rurika Oka

ORCID

ORCID

, Susana M. Chuva de Sousa Lopes, Susana M. Chuva de Sousa Lopes, Ruben van Boxtel

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, Ruben van Boxtel

Human induced pluripotent stem cells display a similar mutation burden as embryonic pluripotent cells in vivo

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This paper was not found in any repository, but could be made available legally by the author.

2020 Joske Ubels

ORCID

, Pieter Sonneveld, Martin H. van Vliet

ORCID

, Jeroen de Ridder

ORCID

Gene networks constructed through simulated treatment learning can predict proteasome inhibitor benefit in Multiple Myeloma

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2019 Joske Ubels

ORCID

, Pieter Sonneveld, Martin H. van Vliet, Jeroen de Ridder

A robust gene expression signature to predict proteasome inhibitor benefit in Multiple Myeloma

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This paper is made freely available by the publisher.

2018 Joske Ubels

ORCID

, Pieter Sonneveld, Erik H. van Beers, Annemiek Broijl, Martin H. van Vliet, Jeroen de Ridder

ORCID

Predicting treatment benefit in multiple myeloma through simulation of alternative treatment effects

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This paper is made freely available by the publisher.

Amin Allahyar

ORCID

, Joske Ubels

ORCID

, Jeroen de Ridder

ORCID

A data-driven interactome of synergistic genes improves network based cancer outcome prediction

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