Robust principal component analysis for accurate outlier sample detection in RNA-Seq data is a research paper published in BMC Bioinformatics (2020). On theSindex it has a DataRank of 0.717. It has been cited 118 times.
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Base Score Contribution
0.717
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: NS041021
National Institute on Drug Abuse
Grant: 5R25DA027995
Goldman Sachs Group
Grant: Goldman Sachs Philanthropy Fund
National Human Genome Research Institute
Grant: R01HG007175
National Human Genome Research Institute
Grant: U01HG009391
National Human Genome Research Institute
Grant: U41HG010972
National Institute of Environmental Health Sciences
Grant: U24ES026699
NINDS NIH HHS
Grant: R01 NS041021
NCI NIH HHS
Grant: U01 CA200060
NIDA NIH HHS
Grant: R25 DA027995
National Institutes of Health
Grant: 1R01NS041021-01
SIGNAL TRANSDUCTION PATHWAYS REGULATING NEURON SURVIVAL
National Institutes of Health
Grant: 5R25DA027995-08
RESEARCH EDUCATION PROGRAM ON COMPUTATIONAL AND STATISTICAL TOOL DEVELOPMENT FOR ADDICTION GENETICS
National Institutes of Health
Grant: 5U41HG010972-02
The WashU-UCSC-EBI Human Genome Reference Center
National Institutes of Health
Grant: 5U24ES026699-04
THE WASHU TARGET ENVIRONMENTAL EPIGENOMICS DATA COORDINATION CENTER
National Institutes of Health
Grant: 5U01HG009391-03
Connecting transposable elements and regulatory innovation using ENCODE data
National Institutes of Health
Grant: 5R01HG007175-02
DECODING THE IMPACT OF TRANSPOSABLE ELEMENTS ON GENE REGULATION
FWCI
8.92
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 1 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 2 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 2 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 3 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 3 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 4 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 4 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 5 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 5 of Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Additional file 2 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 2 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 3 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 3 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 4 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 4 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 5 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 5 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 1 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
Additional file 1 of Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease