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Prioritization of Retinal Disease Genes: An Integrative Approach
Alex H. Wagner
, Kyle R. Taylor
, Adam P. Deluca
, Thomas L. Casavant
, Robert F. Mullins
, Edwin M. Stone
, Todd E. Scheetz
, Terry A. Braun
Research output
:
Contribution to journal
›
Article
›
peer-review
5
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Scopus citations
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Dive into the research topics of 'Prioritization of Retinal Disease Genes: An Integrative Approach'. Together they form a unique fingerprint.
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Keyphrases
Disease Genes
100%
Retinal Diseases
100%
Integrative Approach
100%
Publicly Available
60%
Positive Learning
60%
Unlabeled Learning
60%
Retinitis pigmentosa
40%
Popular
40%
Feature Vector
40%
RNA Sequencing (RNA-seq)
20%
Transcription Factor
20%
Gene Expression
20%
Supervised Learning Method
20%
Genomic Data
20%
Microarray
20%
Disease-associated
20%
Photoreceptor
20%
Disease Class
20%
Exome
20%
Heterogeneous Disease
20%
Regression Function
20%
Chromatin Immunoprecipitation (ChIP)
20%
Novel Disease
20%
Novel Algorithm
20%
Highly Heterogeneous
20%
State-of-the-art Techniques
20%
Biological Relevance
20%
Logistic Regression Method
20%
Machine Learning Models
20%
Gene Prediction
20%
Java Programming
20%
Prediction Strategy
20%
Gene Prioritization
20%
Algorithm Learning
20%
Expression Specificity
20%
Prioritization Tool
20%
Computer Science
Feature Vector
100%
Identify Pattern
50%
Logistic Regression
50%
Data Source
50%
Supervised Learning
50%
Learning Technique
50%
Regression Function
50%
Candidate List
50%
Regression Method
50%
Photoreceptor Cell
50%
Machine Learning Model
50%
Biochemistry, Genetics and Molecular Biology
Retinitis pigmentosa
100%
Gene Expression
50%
Exome
50%
Transcription Factors
50%
RNA Sequencing
50%
Photoreceptor Cell
50%
Genomics
50%
Neuroscience
Retinal Disease
100%
Retinitis pigmentosa
40%
Gene Expression
20%
Transcription Factors
20%
Photoreceptor
20%
RNA-Seq
20%