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Characterizing human cell types and tissue origin using the Benford law
Sne Morag
,
Mali Salmon-Divon
Department of Molecular Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Keyphrases
Benford's Law
100%
Human Cells
100%
Tissue Origin
100%
Separation Accuracy
50%
Differential Expression
25%
Biomedical Applications
25%
Expression Level
25%
Machine Learning Algorithms
25%
Cancer Subtypes
25%
Benford
25%
Biological Insight
25%
Feature Selection Methods
25%
Specific Genes
25%
First Digit Distribution
25%
Leading Digits
25%
Unknown Primary Origin
25%
Transcriptomic Data
25%
Adherence Score
25%
Bulk RNA-seq
25%
RNA-seq Datasets
25%
Numerical Dataset
25%
Sample Contamination
25%
Immunology and Microbiology
Human Cell
100%
Transcriptomics
100%
Thumb
100%
RNA Sequencing
100%
Feature Extraction
100%
Biochemistry, Genetics and Molecular Biology
Transcriptomics
100%
RNA Sequencing
100%
Genomics
100%
Feature Extraction
100%
Neuroscience
Machine Learning Algorithm
100%
Transcriptomics
100%
RNA-Seq
100%
Material Science
RNA Sequencing
100%