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Elucidating tissue specific genes using the Benford distribution
Deepak Karthik
, Gil Stelzer
, Sivan Gershanov
,
Danny Baranes
,
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 Distribution
100%
Tissue-specific Genes
100%
Benford's Law
100%
Benford
50%
Tissue Specificity
33%
Gene Expression Data
33%
Obedience
33%
Expression Level
16%
Potential Predictability
16%
Gene Set
16%
RNA-Seq Technique
16%
Supervised Learning Method
16%
Low Expression
16%
Cell Maintenance
16%
Digital Gene Expression
16%
Whole Transcriptome
16%
Trove
16%
Expressed Genes
16%
Biological Systems
16%
First Digit
16%
First Significant Digits
16%
Rich Systems
16%
Sequencing Cost
16%
Digit Frequency
16%
Count Data
16%
Biological Insight
16%
Transcriptomic Data
16%
Medicine and Dentistry
Gene Expression
100%
Tissue Specificity
100%
Health Care Cost
50%
Thumb
50%
Transcriptomics
50%
RNA Sequencing
50%
Immunology and Microbiology
Gene Expression
100%
Tissue Specificity
100%
Transcriptomics
50%
Thumb
50%
RNA Sequencing
50%
Veterinary Science and Veterinary Medicine
Gene Expression
100%
Thumb
50%
RNA-Seq
50%
Transcriptomics
50%
Neuroscience
Behavior (Neuroscience)
100%
Gene Expression
66%
Transcriptomics
33%
RNA-Seq
33%
Nursing and Health Professions
Tissue Specificity
100%