Cikkek nyilvánosan hozzáférhető megbízással - Steven EschrichTovábbi információ
Sehol sem hozzáférhető: 7
Quantification of peptides from immunoglobulin constant and variable regions by LC‐MRM MS for assessment of multiple myeloma patients
ER Remily‐Wood, K Benson, RC Baz, YA Chen, M Hussein, ...
Proteomics–Clinical Applications 8 (9-10), 783-795, 2014
Megbízások: US National Institutes of Health
Iterative feature perturbation as a gene selector for microarray data
J Canul-Reich, LO Hall, DB Goldgof, JN Korecki, S Eschrich
International Journal of Pattern Recognition and Artificial Intelligence 26 …, 2012
Megbízások: US National Institutes of Health
Association between computed tomographic features and Kirsten rat sarcoma viral oncogene mutations in patients with stage I lung adenocarcinoma and their prognostic value
H Wang, MB Schabath, Y Liu, O Stringfield, Y Balagurunathan, JJ Heine, ...
Clinical lung cancer 17 (4), 271-278, 2016
Megbízások: US National Institutes of Health
Tissue-specific RMA models to incrementally normalize Affymetrix GeneChip data
SA Eschrich, AM Hoerter, GC Bloom, DA Fenstermacher
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
Megbízások: US National Institutes of Health
Using the genomic adjusted radiation dose (GARD) to personalize the radiation dose in nasopharyngeal cancer
CL Chiang, KSK Chan, H Li, WT Ng, JCH Chow, HCW Choi, KO Lam, ...
Radiotherapy and Oncology 196, 110287, 2024
Megbízások: Research Grants Council, Hong Kong
MP50-11 INTEGRATIVE MULTI-OMICS PROFILING IN PENILE SQUAMOUS CELL CARCINOMA
T Shaw, A Obermayer, D Ercan, P Stewart, J Chahoud, P Johnstone, ...
Journal of Urology 209 (Supplement 4), e689, 2023
Megbízások: US Department of Defense
Procedure for stability analysis of gene selection from cross-site gene expression data
JN Korecki, LO Hall, D Goldgof, S Eschrich
2011 IEEE International Conference on Systems, Man, and Cybernetics, 909-913, 2011
Megbízások: US National Institutes of Health
Valahol hozzáférhető: 116
Radiomics: the process and the challenges
V Kumar, Y Gu, S Basu, A Berglund, SA Eschrich, MB Schabath, K Forster, ...
Magnetic resonance imaging 30 (9), 1234-1248, 2012
Megbízások: US National Institutes of Health
Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study
Nature medicine 14 (8), 822-827, 2008
Megbízások: US National Institutes of Health
Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer
JJ Smith, NG Deane, F Wu, NB Merchant, B Zhang, A Jiang, P Lu, ...
Gastroenterology 138 (3), 958-968, 2010
Megbízások: US National Institutes of Health
The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis
AI Riker, SA Enkemann, O Fodstad, S Liu, S Ren, C Morris, Y Xi, P Howell, ...
BMC medical genomics 1, 1-16, 2008
Megbízások: US National Institutes of Health
Metastasis-associated gene expression changes predict poor outcomes in patients with Dukes stage B and C colorectal cancer
RN Jorissen, P Gibbs, M Christie, S Prakash, L Lipton, J Desai, D Kerr, ...
Clinical Cancer Research 15 (24), 7642-7651, 2009
Megbízások: US National Institutes of Health
A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study
JG Scott, A Berglund, MJ Schell, I Mihaylov, WJ Fulp, B Yue, E Welsh, ...
The lancet oncology 18 (2), 202-211, 2017
Megbízások: US Department of Defense, US National Institutes of Health, Florida …
12-Chemokine gene signature identifies lymph node-like structures in melanoma: potential for patient selection for immunotherapy?
JL Messina, DA Fenstermacher, S Eschrich, X Qu, AE Berglund, MC Lloyd, ...
Scientific reports 2 (1), 765, 2012
Megbízások: US National Institutes of Health
A gene expression model of intrinsic tumor radiosensitivity: prediction of response and prognosis after chemoradiation
SA Eschrich, J Pramana, H Zhang, H Zhao, D Boulware, JH Lee, G Bloom, ...
International Journal of Radiation Oncology* Biology* Physics 75 (2), 489-496, 2009
Megbízások: US National Institutes of Health
A chemical and phosphoproteomic characterization of dasatinib action in lung cancer
J Li, U Rix, B Fang, Y Bai, A Edwards, J Colinge, KL Bennett, J Gao, ...
Nature chemical biology 6 (4), 291-299, 2010
Megbízások: US National Institutes of Health
Differential association of STK11 and TP53 with KRAS mutation-associated gene expression, proliferation and immune surveillance in lung adenocarcinoma
MB Schabath, EA Welsh, WJ Fulp, L Chen, JK Teer, ZJ Thompson, ...
Oncogene 35 (24), 3209-3216, 2016
Megbízások: US National Institutes of Health
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma
O Grove, AE Berglund, MB Schabath, HJWL Aerts, A Dekker, H Wang, ...
PloS one 10 (3), e0118261, 2015
Megbízások: US National Institutes of Health
Test–retest reproducibility analysis of lung CT image features
Y Balagurunathan, V Kumar, Y Gu, J Kim, H Wang, Y Liu, DB Goldgof, ...
Journal of digital imaging 27, 805-823, 2014
Megbízások: US National Institutes of Health
Systems biology modeling of the radiation sensitivity network: a biomarker discovery platform
S Eschrich, H Zhang, H Zhao, D Boulware, JH Lee, G Bloom, ...
International Journal of Radiation Oncology* Biology* Physics 75 (2), 497-505, 2009
Megbízások: US National Institutes of Health
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