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Overview Leadership Blog JoVE Help Center

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Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

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Testimonials Subscriptions Access Resources Library Advisory Board FAQ

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JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

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Helena Andres Terre

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Frontiers in Big Data|September 29, 2022

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growthHelena Coggan, Helena Andres Terre, Pietro Liò

Bioinformatics (Oxford, England)|December 10, 2021

Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biasesPaul Scherer, Maja Trębacz, Nikola Simidjievski, et al.

Frontiers in Genetics|January 11, 2020

Variational Autoencoders for Cancer Data Integration: Design Principles and Computational PracticeNikola Simidjievski, Cristian Bodnar, Ifrah Tariq, et al.

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Search research articles

Showing results (1-10 of 3) with videos related to

Sort By:

Pageof 1

Frontiers in Big Data|September 29, 2022

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growthHelena Coggan, Helena Andres Terre, Pietro Liò

Bioinformatics (Oxford, England)|December 10, 2021

Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biasesPaul Scherer, Maja Trębacz, Nikola Simidjievski, et al.

Frontiers in Genetics|January 11, 2020

Variational Autoencoders for Cancer Data Integration: Design Principles and Computational PracticeNikola Simidjievski, Cristian Bodnar, Ifrah Tariq, et al.

Pageof 1