Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Daniel G Pankratz

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
Molecular Biology of the Cell|February 4, 2005
Meiotic S-phase damage activates recombination without checkpoint arrestDaniel G Pankratz, Susan L Forsburg
Genome Biology|July 3, 2002
Software and methods for oligonucleotide and cDNA array data analysisMatthew A Zapala, Daniel J Lockhart, Daniel G Pankratz, et al.
Thyroid : Official Journal of the American Thyroid Association|September 9, 2016
Analytical Performance of a Gene Expression Classifier for Medullary Thyroid CarcinomaDaniel G Pankratz, Zhanzhi Hu, Su Yeon Kim, et al.
BMC Genomics|May 17, 2018
Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutionsYoonha Choi, Tiffany Ting Liu, Daniel G Pankratz, et al.
BMC Cancer|April 14, 2021
Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodulesMarla K Johnson, Shuyang Wu, Daniel G Pankratz, et al.
Human Molecular Genetics|August 10, 2005
Aberrant recombination involving the granzyme locus occurs in Atm-/- T-cell lymphomasChristopher J Winrow, Daniel G Pankratz, Cecile Rose T Vibat, et al.
BMC Medical Genomics|October 22, 2020
Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohortsYoonha Choi, Jianghan Qu, Shuyang Wu, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|April 7, 2026
Whole-transcriptome sequencing and machine learning detect molecular signatures of endometrial cancer in non-invasive vaginal swabsJason D Wright, Daniel G Pankratz, Guoying Liu, et al.
BMC Pulmonary Medicine|November 19, 2017
Analytical performance of Envisia: a genomic classifier for usual interstitial pneumoniaYoonha Choi, Jiayi Lu, Zhanzhi Hu, et al.
The Journal of Clinical Endocrinology and Metabolism|October 23, 2012
Analytical performance verification of a molecular diagnostic for cytology-indeterminate thyroid nodulesP Sean Walsh, Jonathan I Wilde, Edward Y Tom, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Molecular Biology of the Cell|February 4, 2005
Meiotic S-phase damage activates recombination without checkpoint arrestDaniel G Pankratz, Susan L Forsburg
Genome Biology|July 3, 2002
Software and methods for oligonucleotide and cDNA array data analysisMatthew A Zapala, Daniel J Lockhart, Daniel G Pankratz, et al.
Thyroid : Official Journal of the American Thyroid Association|September 9, 2016
Analytical Performance of a Gene Expression Classifier for Medullary Thyroid CarcinomaDaniel G Pankratz, Zhanzhi Hu, Su Yeon Kim, et al.
BMC Genomics|May 17, 2018
Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutionsYoonha Choi, Tiffany Ting Liu, Daniel G Pankratz, et al.
BMC Cancer|April 14, 2021
Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodulesMarla K Johnson, Shuyang Wu, Daniel G Pankratz, et al.
Human Molecular Genetics|August 10, 2005
Aberrant recombination involving the granzyme locus occurs in Atm-/- T-cell lymphomasChristopher J Winrow, Daniel G Pankratz, Cecile Rose T Vibat, et al.
BMC Medical Genomics|October 22, 2020
Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohortsYoonha Choi, Jianghan Qu, Shuyang Wu, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|April 7, 2026
Whole-transcriptome sequencing and machine learning detect molecular signatures of endometrial cancer in non-invasive vaginal swabsJason D Wright, Daniel G Pankratz, Guoying Liu, et al.
BMC Pulmonary Medicine|November 19, 2017
Analytical performance of Envisia: a genomic classifier for usual interstitial pneumoniaYoonha Choi, Jiayi Lu, Zhanzhi Hu, et al.
The Journal of Clinical Endocrinology and Metabolism|October 23, 2012
Analytical performance verification of a molecular diagnostic for cytology-indeterminate thyroid nodulesP Sean Walsh, Jonathan I Wilde, Edward Y Tom, et al.
Pageof 2