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S Collins

Showing results (1441-1450 of 1,876) with videos related to

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Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 17, 2003
Oligonucleotide microarrays demonstrate the highest frequency of ATM mutations in the mantle cell subtype of lymphomaNicole Y Fang, Timothy C Greiner, Dennis D Weisenburger, et al.
Journal of Clinical Epidemiology|June 21, 2020
Time to health-related quality of life improvement analysis was developed to enhance evaluation of modern anticancer therapiesFrancesco Cottone, Gary S Collins, Amelie Anota, et al.
Human Genetics|April 1, 1995
A high-density microsatellite map of the ataxia-telangiectasia locusL Vanagaite, M R James, G Rotman, et al.
Muscle & Nerve|January 3, 2021
Differentiating Moebius syndrome and other congenital facial weakness disorders with electrodiagnostic studiesTanya Lehky, Reversa Joseph, Camilo Toro, et al.
Molecular Metabolism|February 8, 2020
Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signaturesVivek Rai, Daniel X Quang, Michael R Erdos, et al.
JAMA|October 23, 1997
Characteristics of prostate cancer in families potentially linked to the hereditary prostate cancer 1 (HPC1) locusH Grönberg, S D Isaacs, J R Smith, et al.
Journal of Clinical Epidemiology|March 19, 2023
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
The Journal of Prevention of Alzheimer'S Disease|November 6, 2019
Application of the NIA-AA Research Framework: Towards a Biological Definition of Alzheimer's Disease Using Cerebrospinal Fluid Biomarkers in the AIBL StudyS C Burnham, P M Coloma, Q-X Li, et al.
Human Mutation|April 17, 1999
Analysis of CpG C-to-T mutations in neurofibromatosis type 1. Mutations in brief no. 129. OnlineS Krkljus, C R Abernathy, J S Johnson, et al.
Pageof 188

Showing results (1441-1450 of 1,876) with videos related to

Sort By:
Pageof 188
Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 17, 2003
Oligonucleotide microarrays demonstrate the highest frequency of ATM mutations in the mantle cell subtype of lymphomaNicole Y Fang, Timothy C Greiner, Dennis D Weisenburger, et al.
Journal of Clinical Epidemiology|June 21, 2020
Time to health-related quality of life improvement analysis was developed to enhance evaluation of modern anticancer therapiesFrancesco Cottone, Gary S Collins, Amelie Anota, et al.
Human Genetics|April 1, 1995
A high-density microsatellite map of the ataxia-telangiectasia locusL Vanagaite, M R James, G Rotman, et al.
Muscle & Nerve|January 3, 2021
Differentiating Moebius syndrome and other congenital facial weakness disorders with electrodiagnostic studiesTanya Lehky, Reversa Joseph, Camilo Toro, et al.
Molecular Metabolism|February 8, 2020
Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signaturesVivek Rai, Daniel X Quang, Michael R Erdos, et al.
JAMA|October 23, 1997
Characteristics of prostate cancer in families potentially linked to the hereditary prostate cancer 1 (HPC1) locusH Grönberg, S D Isaacs, J R Smith, et al.
Journal of Clinical Epidemiology|March 19, 2023
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
The Journal of Prevention of Alzheimer'S Disease|November 6, 2019
Application of the NIA-AA Research Framework: Towards a Biological Definition of Alzheimer's Disease Using Cerebrospinal Fluid Biomarkers in the AIBL StudyS C Burnham, P M Coloma, Q-X Li, et al.
Human Mutation|April 17, 1999
Analysis of CpG C-to-T mutations in neurofibromatosis type 1. Mutations in brief no. 129. OnlineS Krkljus, C R Abernathy, J S Johnson, et al.
Pageof 188