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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 21, 2022
Session Introduction: Graph Representations and Algorithms in Biomedicine
Brianna Chrisman, Maya Varma, Sepideh Maleki, et al.
JMIR Public Health and Surveillance
|
May 23, 2022
Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
Nathaniel Stockham, Peter Washington, Brianna Chrisman, et al.
Scientific Reports
|
June 14, 2022
The human "contaminome": bacterial, viral, and computational contamination in whole genome sequences from 1000 families
Brianna Chrisman, Chloe He, Jae-Yoon Jung, et al.
Genome Research
|
October 25, 2023
Identifying crossovers and shared genetic material in whole genome sequencing data from families
Kelley Paskov, Brianna Chrisman, Nathaniel Stockham, et al.
Genome Research
|
October 25, 2023
Localizing unmapped sequences with families to validate the Telomere-to-Telomere assembly and identify new hotspots for genetic diversity
Brianna Chrisman, Chloe He, Jae-Yoon Jung, et al.
Intelligence-Based Medicine
|
May 31, 2022
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections
Peter Washington, Brianna Chrisman, Emilie Leblanc, et al.
Biodata Mining
|
April 24, 2021
Estimating sequencing error rates using families
Kelley Paskov, Jae-Yoon Jung, Brianna Chrisman, et al.
Journal of Medical Internet Research
|
February 15, 2022
Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods
Maya Varma, Peter Washington, Brianna Chrisman, et al.
Journal of Personalized Medicine
|
August 23, 2020
Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition
Peter Washington, Emilie Leblanc, Kaitlyn Dunlap, et al.
Journal of Medical Internet Research
|
June 29, 2019
Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks
Peter Washington, Haik Kalantarian, Qandeel Tariq, et al.
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Search research articles
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Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 21, 2022
Session Introduction: Graph Representations and Algorithms in Biomedicine
Brianna Chrisman, Maya Varma, Sepideh Maleki, et al.
JMIR Public Health and Surveillance
|
May 23, 2022
Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
Nathaniel Stockham, Peter Washington, Brianna Chrisman, et al.
Scientific Reports
|
June 14, 2022
The human "contaminome": bacterial, viral, and computational contamination in whole genome sequences from 1000 families
Brianna Chrisman, Chloe He, Jae-Yoon Jung, et al.
Genome Research
|
October 25, 2023
Identifying crossovers and shared genetic material in whole genome sequencing data from families
Kelley Paskov, Brianna Chrisman, Nathaniel Stockham, et al.
Genome Research
|
October 25, 2023
Localizing unmapped sequences with families to validate the Telomere-to-Telomere assembly and identify new hotspots for genetic diversity
Brianna Chrisman, Chloe He, Jae-Yoon Jung, et al.
Intelligence-Based Medicine
|
May 31, 2022
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections
Peter Washington, Brianna Chrisman, Emilie Leblanc, et al.
Biodata Mining
|
April 24, 2021
Estimating sequencing error rates using families
Kelley Paskov, Jae-Yoon Jung, Brianna Chrisman, et al.
Journal of Medical Internet Research
|
February 15, 2022
Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods
Maya Varma, Peter Washington, Brianna Chrisman, et al.
Journal of Personalized Medicine
|
August 23, 2020
Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition
Peter Washington, Emilie Leblanc, Kaitlyn Dunlap, et al.
Journal of Medical Internet Research
|
June 29, 2019
Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks
Peter Washington, Haik Kalantarian, Qandeel Tariq, et al.
Page
of 2