소장자료
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| 001 | 0100733468▲ | ||
| 005 | 20230914095518▲ | ||
| 008 | 220131s2021 us ||||||||||||||c||eng d▲ | ||
| 020 | ▼a9798534652307▲ | ||
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| 040 | ▼aMiAaPQ▼cMiAaPQ▲ | ||
| 082 | 0 | ▼a519▲ | |
| 100 | 1 | ▼aGigante, Scott Anthony.▲ | |
| 245 | 1 | 0 | ▼aDiffusion-based Approaches to Visualization and Exploration of High-Dimensional Data.▼h[electronic resource]▲ |
| 260 | ▼a[S.l.] :▼bYale University, ▼c2021▲ | ||
| 260 | 1 | ▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2021▲ | |
| 300 | ▼a236 p.▲ | ||
| 500 | ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.▲ | ||
| 500 | ▼aAdvisor: Krishnaswamy, Smita;Coifman, Ronald R.▲ | ||
| 502 | 1 | ▼aThesis (Ph.D.)--Yale University, 2021.▲ | |
| 506 | ▼aThis item must not be sold to any third party vendors.▲ | ||
| 590 | ▼aSchool code: 0265.▲ | ||
| 650 | 4 | ▼aApplied mathematics.▲ | |
| 650 | 4 | ▼aComputer science.▲ | |
| 650 | 4 | ▼aBioinformatics.▲ | |
| 650 | 4 | ▼aBiomedical engineering.▲ | |
| 650 | 4 | ▼aArtificial intelligence.▲ | |
| 650 | 4 | ▼aInformation science.▲ | |
| 650 | 4 | ▼aDNA methylation.▲ | |
| 650 | 4 | ▼aDatasets.▲ | |
| 650 | 4 | ▼aSignal processing.▲ | |
| 650 | 4 | ▼aApproximation.▲ | |
| 650 | 4 | ▼aData analysis.▲ | |
| 650 | 4 | ▼aGenomes.▲ | |
| 650 | 4 | ▼aBiology.▲ | |
| 650 | 4 | ▼aHarmonic analysis.▲ | |
| 650 | 4 | ▼aGenomics.▲ | |
| 650 | 4 | ▼aBibliographic literature.▲ | |
| 650 | 4 | ▼aVisualization.▲ | |
| 650 | 4 | ▼aGene expression.▲ | |
| 650 | 4 | ▼aExperiments.▲ | |
| 650 | 4 | ▼aNeural networks.▲ | |
| 650 | 4 | ▼aMaps.▲ | |
| 650 | 4 | ▼aDesign.▲ | |
| 650 | 4 | ▼aDiffusion.▲ | |
| 650 | 4 | ▼aAlgorithms.▲ | |
| 650 | 4 | ▼aBiotechnology.▲ | |
| 653 | ▼aBig data▲ | ||
| 653 | ▼aData visualization▲ | ||
| 653 | ▼aDimensionality reduction▲ | ||
| 653 | ▼aMachine learning▲ | ||
| 653 | ▼aPHATE▲ | ||
| 653 | ▼aSingle-cell genomics▲ | ||
| 653 | ▼aPotential of Heat-diffusion for Affinity-based Transition Embedding▲ | ||
| 690 | ▼a0364▲ | ||
| 690 | ▼a0984▲ | ||
| 690 | ▼a0715▲ | ||
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| 690 | ▼a0723▲ | ||
| 690 | ▼a0389▲ | ||
| 690 | ▼a0306▲ | ||
| 710 | 2 | 0 | ▼aYale University. ▼bComputational Biology and Bioinformatics.▲ |
| 773 | 0 | ▼tDissertations Abstracts International, ▼g83-02B.▲ | |
| 773 | ▼tDissertation Abstract International▲ | ||
| 790 | ▼a0265▲ | ||
| 791 | ▼aPh.D.▲ | ||
| 792 | ▼a2021▲ | ||
| 793 | ▼aEnglish▲ | ||
| 856 | 4 | 0 | ▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051420▲ |
Diffusion-based Approaches to Visualization and Exploration of High-Dimensional Data.[electronic resource]
자료유형
국외eBook
서명/책임사항
Diffusion-based Approaches to Visualization and Exploration of High-Dimensional Data. [electronic resource]
발행사항
[S.l.] : Yale University , 2021 Ann Arbor : ProQuest Dissertations & Theses , 2021
형태사항
236 p.
일반주기
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Krishnaswamy, Smita;Coifman, Ronald R.
Advisor: Krishnaswamy, Smita;Coifman, Ronald R.
학위논문주기
Thesis (Ph.D.)--Yale University, 2021.
주제
Applied mathematics.
Computer science.
Bioinformatics.
Biomedical engineering.
Artificial intelligence.
Information science.
DNA methylation.
Datasets.
Signal processing.
Approximation.
Data analysis.
Genomes.
Biology.
Harmonic analysis.
Genomics.
Bibliographic literature.
Visualization.
Gene expression.
Experiments.
Neural networks.
Maps.
Design.
Diffusion.
Algorithms.
Biotechnology.
Big data
Data visualization
Dimensionality reduction
Machine learning
PHATE
Single-cell genomics
Potential of Heat-diffusion for Affinity-based Transition Embedding
Computer science.
Bioinformatics.
Biomedical engineering.
Artificial intelligence.
Information science.
DNA methylation.
Datasets.
Signal processing.
Approximation.
Data analysis.
Genomes.
Biology.
Harmonic analysis.
Genomics.
Bibliographic literature.
Visualization.
Gene expression.
Experiments.
Neural networks.
Maps.
Design.
Diffusion.
Algorithms.
Biotechnology.
Big data
Data visualization
Dimensionality reduction
Machine learning
PHATE
Single-cell genomics
Potential of Heat-diffusion for Affinity-based Transition Embedding
ISBN
9798534652307
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