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Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling

SIAM Journal on Mathematics of Data Science(2023)10.1137/22m1516968Source: DataRank Database

Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling is a research paper published in SIAM Journal on Mathematics of Data Science (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 1.42)OA: goldTopics (35)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Xiuyuan Cheng ORCID,Boris Landa

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4384821870

National Institutes of Health

Grant: R01GM131642

National Institutes of Health

Grant: UM1DA051410

National Institutes of Health

Grant: U54AG076043

National Institutes of Health

Grant: U01DA053628

National Science Foundation

Grant: DMS-2007040

National Science Foundation

Grant: DMS-1818945

National Science Foundation

Grant: DMS-1820827

National Science Foundation

Grant: DMS-2134037

National Institutes of Health

Grant: 5UM1DA051410-03

The Y-SCORCH Data Generation Center at Yale for Single-Cell Opioid Responses in the Context of HIV

National Institutes of Health

Grant: 5R01GM131642-04

EFFICIENT METHODS FOR CALIBRATION, CLUSTERING, VISUALIZATION AND IMPUTATION OF LARGE scRNA-seq DATA

National Science Foundation

Grant: 1820827

CDS&E: Structure-Aware Representation Learning Using Deep Networks

National Institutes of Health

Grant: 5U54AG076043-02

Yale TMC for Cellular Senescence in Lymphoid Organs

National Science Foundation

Grant: 2134037

Bridging Statistical Hypothesis Tests and Deep Learning for Reliability and Computational Efficiency

National Science Foundation

Grant: 2007040

NSF-BSF: Group Invariant Graph Laplacians: Theory and Computations

National Science Foundation

Grant: 1818945

Collaborative Research: Geometric Analysis and Computation for Generative Models

National Institutes of Health

Grant: 5U01DA053628-05

M-SCORCH: Methamphetamine use disorder data generation center for Single Cell Opioid Responses in the Context of HIV

FWCI

1.42

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

goldLicense: arXiv Non-Exclusive Distribution

journalhttps://doi.org/10.1137/22m1516968

publisherhttps://doi.org/10.1137/22m1516968

https://dx.doi.org/10.48550/arxiv.2209.08004

http://arxiv.org/abs/2209.08004

https://zbmath.org/7732334

Fields of Study

Statistical Methods and InferenceGene expression and cancer classificationSingle-cell and spatial transcriptomics0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

PointwiseMathematicsEstimatorOutlierGaussian noiseKernel (algebra)AlgorithmGaussianApplied mathematicsStatisticsMathematical analysisDiscrete mathematicsFOS: Computer and information sciencesComputer Science - Machine Learningdoubly stochasticMathematics - Statistics TheoryMachine Learning (stat.ML)Sinkhorn scalingStatistics Theory (math.ST)Nonparametric inferenceMachine Learning (cs.LG)noise robustnessStatistical aspects of big data and data scienceStatistics - Machine Learningmanifold learninggraph LaplacianFOS: Mathematicsdiffusion mapsaffinity matrix