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August 7, 2023
Equitable machine learning counteracts ancestral bias in precision medicine, improving outcomes for all
Leslie A Smith, James A Cahill, Kiley Graim
Nature Communications
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March 11, 2025
Equitable machine learning counteracts ancestral bias in precision medicine
Leslie A Smith, James A Cahill, Ji-Hyun Lee, et al.
Nature
|
April 29, 2021
Universal nomenclature for oxytocin-vasotocin ligand and receptor families
Constantina Theofanopoulou, Gregory Gedman, James A Cahill, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
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June 22, 2016
Inferring species divergence times using pairwise sequential Markovian coalescent modelling and low-coverage genomic data
James A Cahill, André E R Soares, Richard E Green, et al.
Annual Review of Biomedical Data Science
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April 22, 2024
Bringing the Genomic Revolution to Comparative Oncology: Human and Dog Cancers
James A Cahill, Leslie A Smith, Soumya Gottipati, et al.
Biorxiv : the Preprint Server for Biology
|
June 4, 2026
The Paipu framework enables creation of a large-scale mammalian cancer transcriptomics atlas
Bria S Smith, Leslie A Smith, Ji-Hyun Lee, et al.
Science Advances
|
June 21, 2017
Response to Hohenlohe <i>et al</i>
Bridgett M vonHoldt, James A Cahill, Ilan Gronau, et al.
Genome Research
|
October 20, 2021
Positive selection in noncoding genomic regions of vocal learning birds is associated with genes implicated in vocal learning and speech functions in humans
James A Cahill, Joel Armstrong, Alden Deran, et al.
Molecular Biology and Evolution
|
June 4, 2015
Genomic Data from Extinct North American Camelops Revise Camel Evolutionary History
Peter D Heintzman, Grant D Zazula, James A Cahill, et al.
Research Square
|
June 5, 2026
Leveraging Dog Models to Uncover Human Cancer Insights
Geesa Daluwatumulle, Leslie A Smith, Nathan Glen, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 27) with videos related to
Sort By:
Page
of 3
Research Square
|
August 7, 2023
Equitable machine learning counteracts ancestral bias in precision medicine, improving outcomes for all
Leslie A Smith, James A Cahill, Kiley Graim
Nature Communications
|
March 11, 2025
Equitable machine learning counteracts ancestral bias in precision medicine
Leslie A Smith, James A Cahill, Ji-Hyun Lee, et al.
Nature
|
April 29, 2021
Universal nomenclature for oxytocin-vasotocin ligand and receptor families
Constantina Theofanopoulou, Gregory Gedman, James A Cahill, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|
June 22, 2016
Inferring species divergence times using pairwise sequential Markovian coalescent modelling and low-coverage genomic data
James A Cahill, André E R Soares, Richard E Green, et al.
Annual Review of Biomedical Data Science
|
April 22, 2024
Bringing the Genomic Revolution to Comparative Oncology: Human and Dog Cancers
James A Cahill, Leslie A Smith, Soumya Gottipati, et al.
Biorxiv : the Preprint Server for Biology
|
June 4, 2026
The Paipu framework enables creation of a large-scale mammalian cancer transcriptomics atlas
Bria S Smith, Leslie A Smith, Ji-Hyun Lee, et al.
Science Advances
|
June 21, 2017
Response to Hohenlohe <i>et al</i>
Bridgett M vonHoldt, James A Cahill, Ilan Gronau, et al.
Genome Research
|
October 20, 2021
Positive selection in noncoding genomic regions of vocal learning birds is associated with genes implicated in vocal learning and speech functions in humans
James A Cahill, Joel Armstrong, Alden Deran, et al.
Molecular Biology and Evolution
|
June 4, 2015
Genomic Data from Extinct North American Camelops Revise Camel Evolutionary History
Peter D Heintzman, Grant D Zazula, James A Cahill, et al.
Research Square
|
June 5, 2026
Leveraging Dog Models to Uncover Human Cancer Insights
Geesa Daluwatumulle, Leslie A Smith, Nathan Glen, et al.
Page
of 3