Article

Efficient Agony Based Transfer Learning Algorithms for Survival Forecasting

2021-02-25

Abstract excerpt

Progression modeling is a mature subfield of cancer bioinformatics, but it has yet to make a proportional clinical impact. The majority of the research in this area has focused on the development of efficient algorithms for accurately reconstructing sequences of (epi)genomic events from noisy data. We see this as the first step in a broad pipeline that will translate progression modeling to clinical utility, with...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e5897b36-ddeb-5340-9299-e351c4cb66ac
DOI: 10.1101/2021.02.24.432695

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Efficient Agony Based Transfer Learning Algorithms for Survival ForecastingDOI 10.1101/2021.02.24.432695Read

CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional DataSemantic proximity Read

Inferring time-aware models of cancer progression using Timed Hazard NetworksSemantic proximity Read

CAPRI: efficient inference of cancer progression models from cross-sectional data.Semantic proximity Read

Probabilistic Learning of Treatment Trees in CancerSemantic proximity Read

Learning Invariant Graph Representations for Cox Survival Modeling under Distribution ShiftsSemantic proximity Read

Inferring latent temporal progression and regulatory networks from cross-sectional transcriptomic data of cancer samplesSemantic proximity Read

Outcome-Oriented Deep Temporal Phenotyping of Disease Progression.Semantic proximity Read

Overcoming Observation Bias for Cancer Progression ModelingSemantic proximity Read

Transport-based transfer learning on Electronic Health Records: Application to detection of treatment disparitiesSemantic proximity Read

Transfer Learning of Clinical Outcomes with Molecular Data, Principles and PerspectivesSemantic proximity Read

Inferring Tree Models for Oncogenesis from Comparative Genome Hybridization DataSemantic proximity Read

Bayesian Elastic‑Net Cox Models for Time‑to‑Event Prediction: Application with Breast‑Cancer CohortSemantic proximity Read