| Regional and strain-specific gene expression mapping in the adult mouse brain R Sandberg, R Yasuda, DG Pankratz, TA Carter, JA Del Rio, L Wodicka, ... Proceedings of the National Academy of Sciences 97 (20), 11038-11043, 2000 | 590 | 2000 |
| Mice with a targeted mutation in the thyroid hormone β receptor gene exhibit impaired growth and resistance to thyroid hormone M Kaneshige, K Kaneshige, X Zhu, A Dace, L Garrett, TA Carter, ... Proceedings of the National Academy of Sciences 97 (24), 13209-13214, 2000 | 299 | 2000 |
| Abnormal rearrangement within the α/δ T-cell receptor locus in lymphomas from Atm-deficient mice M Liyanage, Z Weaver, C Barlow, A Coleman, DG Pankratz, S Anderson, ... Blood, The Journal of the American Society of Hematology 96 (5), 1940-1946, 2000 | 170 | 2000 |
| Use of a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samples: a prospective validation study G Raghu, KR Flaherty, DJ Lederer, DA Lynch, TV Colby, JL Myers, ... The lancet Respiratory medicine 7 (6), 487-496, 2019 | 140 | 2019 |
| Classification of usual interstitial pneumonia in patients with interstitial lung disease: assessment of a machine learning approach using high-dimensional transcriptional data SY Kim, J Diggans, D Pankratz, J Huang, M Pagan, N Sindy, E Tom, ... The lancet Respiratory medicine 3 (6), 473-482, 2015 | 137 | 2015 |
| Usual interstitial pneumonia can be detected in transbronchial biopsies using machine learning DG Pankratz, Y Choi, U Imtiaz, GM Fedorowicz, JD Anderson, TV Colby, ... Annals of the American Thoracic Society 14 (11), 1646-1654, 2017 | 100 | 2017 |
| Analytical performance verification of a molecular diagnostic for cytology-indeterminate thyroid nodules PS Walsh, JI Wilde, EY Tom, JD Reynolds, DC Chen, DI Chudova, ... The Journal of Clinical Endocrinology & Metabolism 97 (12), E2297-E2306, 2012 | 67 | 2012 |
| Utility of a molecular classifier as a complement to high-resolution computed tomography to identify usual interstitial pneumonia L Richeldi, MB Scholand, DA Lynch, TV Colby, JL Myers, SD Groshong, ... American Journal of Respiratory and Critical Care Medicine 203 (2), 211-220, 2021 | 63 | 2021 |
| Software and methods for oligonucleotide and cDNA array data analysis MA Zapala, DJ Lockhart, DG Pankratz, AJ Garcia, C Barlow, DJ Lockhart Genome biology 3, 1-9, 2002 | 55 | 2002 |
| Methods and compositions for classification of samples GC Kennedy, JI Wilde, D Chudova, D Pankratz, C Barbacioru, PS Walsh, ... US Patent App. 14/851,864, 2016 | 48 | 2016 |
| Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions Y Choi, TT Liu, DG Pankratz, TV Colby, NM Barth, DA Lynch, PS Walsh, ... BMC genomics 19, 147-159, 2018 | 37 | 2018 |
| Machine learning from concept to clinic: reliable detection of BRAF V600E DNA mutations in thyroid nodules using high-dimensional RNA expression data J Diggans, SY Kim, Z Hu, D Pankratz, M Wong, J Reynolds, E Tom, ... Pacific Symposium on Biocomputing Co-Chairs, 371-382, 2014 | 33 | 2014 |
| Meiotic S-phase damage activates recombination without checkpoint arrest DG Pankratz, SL Forsburg Molecular biology of the cell 16 (4), 1651-1660, 2005 | 32 | 2005 |
| Analytical performance of Envisia: a genomic classifier for usual interstitial pneumonia Y Choi, J Lu, Z Hu, DG Pankratz, H Jiang, M Cao, C Marchisano, J Huiras, ... BMC pulmonary medicine 17, 1-8, 2017 | 20 | 2017 |
| Aberrant recombination involving the granzyme locus occurs in Atm−/− T-cell lymphomas CJ Winrow, DG Pankratz, CRT Vibat, TJ Bowen, MA Callahan, AJ Warren, ... Human Molecular Genetics 14 (18), 2671-2684, 2005 | 18 | 2005 |
| Analytical performance of a gene expression classifier for medullary thyroid carcinoma DG Pankratz, Z Hu, SY Kim, RJ Monroe, MG Wong, ST Traweek, RT Kloos, ... Thyroid 26 (11), 1573-1580, 2016 | 17 | 2016 |
| Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts Y Choi, J Qu, S Wu, Y Hao, J Zhang, J Ning, X Yang, L Lofaro, ... BMC Medical Genomics 13, 1-15, 2020 | 16 | 2020 |
| Systems and methods of diagnosing idiopathic pulmonary fibrosis on transbronchial biopsies using machine learning and high dimensional transcriptional data G Kennedy, J Diggans, J Huang, C Yoonha, SY Kim, D Pankratz, ... | 8 | 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 nodules MK Johnson, S Wu, DG Pankratz, G Fedorowicz, J Anderson, J Ding, ... BMC cancer 21, 1-10, 2021 | 5 | 2021 |
| Early candidate nasal swab classifiers developed using machine learning and whole transcriptome sequencing may improve early lung cancer detection. PJ Mazzone, C Lamb, KM Rieger-Christ, CB Reddy, J Qu, S Wu, J Ding, ... Journal of Clinical Oncology 39 (15_suppl), 8551-8551, 2021 | 5 | 2021 |
