Joanne Berghout

Orcid: 0000-0002-9250-9159

According to our database1, Joanne Berghout authored at least 13 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2021
'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases.
Bioinform., 2021

Computational Challenges and Artificial Intelligence in Precision Medicine.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020
Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.
BMC Bioinform., 2020

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.
BMC Bioinform., 2020

2019
Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes.
Briefings Bioinform., 2019

Precision drug repurposing via convergent eQTL-based molecules and pathway targeting independent disease-associated polymorphisms.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Reading between the genes: interpreting non-coding DNA in high-throughput.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes.
Proceedings of the AMIA 2019, 2019

2018
Session Introduction.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Single subject transcriptome analysis to identify functionally signed gene set or pathway activity.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects.
J. Biomed. Informatics, 2017

A genome-by-environment interaction classifier for precision medicine: personal transcriptome response to rhinovirus identifies children prone to asthma exacerbations.
J. Am. Medical Informatics Assoc., 2017

2014
The mouse Gene Expression Database (GXD): 2014 update.
Nucleic Acids Res., 2014


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