MMOSurv: meta-learning for few-shot survival analysis with multi-omics data

Authors

Limin Li (ORCID: https://orcid.org/0000-0003-3572-6832)
Gang Wen (ORCID: https://orcid.org/0000-0001-5972-0940)

Institutions

Xi'an Jiaotong University (CN)

Publication Details

Journal: Bioinformatics
Published: 2024-11-19
DOI: https://doi.org/10.1093/bioinformatics/btae684
Citations: 5
Primary Topic: Bioinformatics and Genomic Networks
Type: article
Field-Weighted Citation Impact: 1.17

Funders

National Natural Science Foundation of China

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article

MMOSurv: meta-learning for few-shot survival analysis with multi-omics data

Limin Li, Gang Wen

Nov 19, 2024

5 citations

Bioinformatics

Bioinformatics and Genomic Networks

1.17

article

MMOSurv: meta-learning for few-shot survival analysis with multi-omics data

Limin Li, Gang Wen

November 19, 2024article en

5 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(1)

Xi'an Jiaotong University (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 21%

Bioinformatics and Genomic Networks

1.17

DOI Open Access PDF OpenAlex

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MMOSurv: meta-learning for few-shot survival analysis with multi-omics data — Limin Li, Gang Wen · Bioinformatics (2024) | TGRS Research Map | TGRS