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John V Pearson

Showing results (21-30 of 114) with videos related to

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Diabetes|March 31, 2007
Identification of PVT1 as a candidate gene for end-stage renal disease in type 2 diabetes using a pooling-based genome-wide single nucleotide polymorphism association studyRobert L Hanson, David W Craig, Meredith P Millis, et al.
Nature Methods|September 17, 2008
Identification of genetic variants using bar-coded multiplexed sequencingDavid W Craig, John V Pearson, Szabolcs Szelinger, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|July 24, 2008
Neuronal gene expression correlates of Parkinson's disease with dementiaChelsea Stamper, Andrew Siegel, Winnie S Liang, et al.
Scientific Reports|May 6, 2023
Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncologySamual MacDonald, Helena Foley, Melvyn Yap, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|January 10, 2017
Unexpected UVR and non-UVR mutation burden in some acral and cutaneous melanomasRobert V Rawson, Peter A Johansson, Nicholas K Hayward, et al.
BMC Cancer|May 26, 2026
Whole genome sequencing in oesophageal adenocarcinoma unmasks potential precision therapiesSowmya Sharma, Ho Yi Wong, Rebecca L Johnston, et al.
Respiration; International Review of Thoracic Diseases|February 8, 2019
Diff-Quik Cytology Smears from Endobronchial Ultrasound Transbronchial Needle Aspiration Lymph Node Specimens as a Source of DNA for Next-Generation Sequencing Instead of Cell BlocksDavid Fielding, Andrew J Dalley, Farzad Bashirzadeh, et al.
Cancers|February 10, 2019
Intratumoural Heterogeneity Underlies Distinct Therapy Responses and Treatment Resistance in GlioblastomaSeçkin Akgül, Ann-Marie Patch, Rochelle C J D'Souza, et al.
Lung Cancer (Amsterdam, Netherlands)|April 17, 2018
Malignant cells from pleural fluids in malignant mesothelioma patients reveal novel mutationsSophie Sneddon, Ian Dick, Y C Gary Lee, et al.
Scientific Reports|May 23, 2026
Explainable machine learning identifies features and thresholds predictive of immunotherapy responseKhoa A Tran, Venkateswar Addala, Lambros T Koufariotis, et al.
Pageof 12

Showing results (21-30 of 114) with videos related to

Sort By:
Pageof 12
Diabetes|March 31, 2007
Identification of PVT1 as a candidate gene for end-stage renal disease in type 2 diabetes using a pooling-based genome-wide single nucleotide polymorphism association studyRobert L Hanson, David W Craig, Meredith P Millis, et al.
Nature Methods|September 17, 2008
Identification of genetic variants using bar-coded multiplexed sequencingDavid W Craig, John V Pearson, Szabolcs Szelinger, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|July 24, 2008
Neuronal gene expression correlates of Parkinson's disease with dementiaChelsea Stamper, Andrew Siegel, Winnie S Liang, et al.
Scientific Reports|May 6, 2023
Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncologySamual MacDonald, Helena Foley, Melvyn Yap, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|January 10, 2017
Unexpected UVR and non-UVR mutation burden in some acral and cutaneous melanomasRobert V Rawson, Peter A Johansson, Nicholas K Hayward, et al.
BMC Cancer|May 26, 2026
Whole genome sequencing in oesophageal adenocarcinoma unmasks potential precision therapiesSowmya Sharma, Ho Yi Wong, Rebecca L Johnston, et al.
Respiration; International Review of Thoracic Diseases|February 8, 2019
Diff-Quik Cytology Smears from Endobronchial Ultrasound Transbronchial Needle Aspiration Lymph Node Specimens as a Source of DNA for Next-Generation Sequencing Instead of Cell BlocksDavid Fielding, Andrew J Dalley, Farzad Bashirzadeh, et al.
Cancers|February 10, 2019
Intratumoural Heterogeneity Underlies Distinct Therapy Responses and Treatment Resistance in GlioblastomaSeçkin Akgül, Ann-Marie Patch, Rochelle C J D'Souza, et al.
Lung Cancer (Amsterdam, Netherlands)|April 17, 2018
Malignant cells from pleural fluids in malignant mesothelioma patients reveal novel mutationsSophie Sneddon, Ian Dick, Y C Gary Lee, et al.
Scientific Reports|May 23, 2026
Explainable machine learning identifies features and thresholds predictive of immunotherapy responseKhoa A Tran, Venkateswar Addala, Lambros T Koufariotis, et al.
Pageof 12