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Ruipeng Lu
Observed name:
Lu, Ruipeng
Institution:
Canadian Food Inspection Agency
Observed institutions:
Western University,
Canadian Food Inspection Agency
ORCID:
0009-0002-3878-2880
Observed ORCID:
0009-0002-3878-2880
OpenAlex ID:
A5111166027
Prioritizing Variants in Complete Hereditary Breast and Ovarian Cancer Genes in Patients Lacking Known BRCA Mutations
2016
·
Natasha G. Caminsky
, Eliseos J. Mucaki
, et al.
·
Human Mutation
·
40
PDF
Discovery and validation of information theory-based transcription factor and cofactor binding site motifs
2016
·
Ruipeng Lu
, Eliseos J. Mucaki
, et al.
·
Nucleic Acids Research
·
29
A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos J. Mucaki
, Natasha G. Caminsky
, et al.
·
BMC Medical Genomics
·
29
PDF
Transcription factor binding site clusters identify target genes with similar tissue-wide expression and buffer against mutations
2018
·
Ruipeng Lu
, Peter K. Rogan
·
F1000Research
·
15
PDF
Transcription factor binding site clusters identify target genes with similar tissue-wide expression and buffer against mutations
2019
·
Ruipeng Lu
, Peter K. Rogan
·
F1000Research
·
12
PDF
Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling
2020
·
Peter K. Rogan
, Eliseos J. Mucaki
, et al.
·
PLoS ONE
·
6
PDF
MNBC: a multithreaded Minimizer-based Naïve Bayes Classifier for improved metagenomic sequence classification
2024
·
Ruipeng Lu
, Tim Dumonceaux
, et al.
·
Bioinformatics
·
5
PDF
MNBC-ME categorizes viral and plasmid sequences within metagenomes and identifies putative species or plasmid host
2026
·
Ruipeng Lu
, Tim Dumonceaux
, et al.
·
BMC Bioinformatics
Additional file 1 of MNBC-ME categorizes viral and plasmid sequences within metagenomes and identifies putative species or plasmid host
2026
·
Ruipeng Lu
, Tim Dumonceaux
, et al.
·
Figshare
A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2020
·
Lu, Ruipeng
, Rogan, Peter K.
, et al.
·
Carolina Digital Repository (University of North Carolina at Chapel Hill)
Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling
2020
·
Rogan, Peter K.
, Eliseos J Mucaki
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Computational Modelling of Human Transcriptional Regulation by an Information Theory-based Approach
2018
·
Ruipeng Lu
·
Scholarship@Western (Western University)
PDF
Additional file 4: Table S2. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 3: Table S1. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 7: Table S4. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 9: Table S6. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 8: Table S5. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 14: Table S11. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 11: Table S8. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 12: Table S9. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 13: Table S10. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 10: Table S7. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 5: Table S3. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Eliseos Mucaki
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 2: of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Mucaki, Eliseos
, Caminsky, Natasha
, et al.
·
Figshare
Additional file 6: Figure S1. of A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
2016
·
Mucaki, Eliseos
, Caminsky, Natasha
, et al.
·
Figshare
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Works count:
40
Citation count:
144
H-index:
6
I10-index:
5
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