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Raymond T Ng

Showing results (1-10 of 79) with videos related to

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BMC Bioinformatics|March 14, 2018
Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolutionShu Yang, Junwen Wang, Raymond T Ng
Bioinformatics (Oxford, England)|July 6, 2006
Detecting potential labeling errors in microarrays by data perturbationAndrea Malossini, Enrico Blanzieri, Raymond T Ng
Bioinformatics (Oxford, England)|June 24, 2020
ProbeRating: a recommender system to infer binding profiles for nucleic acid-binding proteinsShu Yang, Xiaoxi Liu, Raymond T Ng
Genome Biology|December 2, 2024
SMART: spatial transcriptomics deconvolution using marker-gene-assisted topic modelChen Xi Yang, Don D Sin, Raymond T Ng
Journal of Chemical Information and Modeling|October 8, 2009
A model-based ensembling approach for developing QSARsQianyi Zhang, Jacqueline M Hughes-Oliver, Raymond T Ng
Bioinformatics (Oxford, England)|November 17, 2021
Mian: interactive web-based microbiome data table visualization and machine learning platformBoyang Tom Jin, Feng Xu, Raymond T Ng, et al.
Bioinformatics (Oxford, England)|July 25, 2007
Modeling recurrent DNA copy number alterations in array CGH dataSohrab P Shah, Wan L Lam, Raymond T Ng, et al.
Communications Medicine|April 8, 2024
Predicting which patients with cancer will see a psychiatrist or counsellor from their initial oncology consultation document using natural language processingJohn-Jose Nunez, Bonnie Leung, Cheryl Ho, et al.
Computer Methods and Programs in Biomedicine|November 17, 2023
Assessing privacy leakage in synthetic 3-D PET imaging using transversal GANRobert V Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi, et al.
JAMA Network Open|February 27, 2023
Predicting the Survival of Patients With Cancer From Their Initial Oncology Consultation Document Using Natural Language ProcessingJohn-Jose Nunez, Bonnie Leung, Cheryl Ho, et al.
Pageof 8

Showing results (1-10 of 79) with videos related to

Sort By:
Pageof 8
BMC Bioinformatics|March 14, 2018
Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolutionShu Yang, Junwen Wang, Raymond T Ng
Bioinformatics (Oxford, England)|July 6, 2006
Detecting potential labeling errors in microarrays by data perturbationAndrea Malossini, Enrico Blanzieri, Raymond T Ng
Bioinformatics (Oxford, England)|June 24, 2020
ProbeRating: a recommender system to infer binding profiles for nucleic acid-binding proteinsShu Yang, Xiaoxi Liu, Raymond T Ng
Genome Biology|December 2, 2024
SMART: spatial transcriptomics deconvolution using marker-gene-assisted topic modelChen Xi Yang, Don D Sin, Raymond T Ng
Journal of Chemical Information and Modeling|October 8, 2009
A model-based ensembling approach for developing QSARsQianyi Zhang, Jacqueline M Hughes-Oliver, Raymond T Ng
Bioinformatics (Oxford, England)|November 17, 2021
Mian: interactive web-based microbiome data table visualization and machine learning platformBoyang Tom Jin, Feng Xu, Raymond T Ng, et al.
Bioinformatics (Oxford, England)|July 25, 2007
Modeling recurrent DNA copy number alterations in array CGH dataSohrab P Shah, Wan L Lam, Raymond T Ng, et al.
Communications Medicine|April 8, 2024
Predicting which patients with cancer will see a psychiatrist or counsellor from their initial oncology consultation document using natural language processingJohn-Jose Nunez, Bonnie Leung, Cheryl Ho, et al.
Computer Methods and Programs in Biomedicine|November 17, 2023
Assessing privacy leakage in synthetic 3-D PET imaging using transversal GANRobert V Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi, et al.
JAMA Network Open|February 27, 2023
Predicting the Survival of Patients With Cancer From Their Initial Oncology Consultation Document Using Natural Language ProcessingJohn-Jose Nunez, Bonnie Leung, Cheryl Ho, et al.
Pageof 8