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A general kernel boosting framework integrating pathways for predictive modeling based on genomic data

(2022)10.1145/3535508.3545526Source: DataRank Database

A general kernel boosting framework integrating pathways for predictive modeling based on genomic data is a research paper (2022). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (9)IDs (PubMed)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Zhaolong Yu ORCID,Yiliang Zhang ORCID,Luca Pinello ORCID,Li Zeng ORCID

Live enrichment

PubMed:19910364

NIH

Grant: P50 CA196530, P30 CA016359

National Institutes of Health

Grant: 2P30CA016359-15

COMPREHENSIVE CANCER CENTER

National Institutes of Health

Grant: 3P50CA196530-02S1

Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung Cancer

National Institutes of Health

Grant: 3P50CA196530-03S1

MicroRNA-based interventions to prevent progression from lung preneoplasia to adenocarcinoma

goldLicense: https://www.acm.org/publications/policies/copyright_policy#Background

https://dl.acm.org/doi/pdf/10.1145/3535508.3545526

publisherhttps://dl.acm.org/doi/10.1145/3535508.3545526

https://doi.org/10.1145/3535508.3545526

https://dx.doi.org/10.48550/arxiv.2008.11384

http://arxiv.org/abs/2008.11384

Fields of Study

0301 basic medicine03 medical and health sciences0101 mathematics01 natural sciences

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningMachine Learning (stat.ML)Machine Learning (cs.LG)

Sustainable Development Goals

SDG 3: 3. Good health