196 results on '"Jézéquel, Pascal"'
Search Results
2. Mesenchymal-like immune-altered is the fourth robust triple-negative breast cancer molecular subtype
3. Deformable image registration with deep network priors: a study on longitudinal PET images
4. A Bayesian approach for partial Gaussian graphical models with sparsity
5. A partial graphical model with a structural prior on the direct links between predictors and responses
6. Prediction of pathological response to neo-adjuvant chemotherapy using texture parameters of initial 18-FDG PET/CT in estrogen receptor positive/Her2 negative (ER+/HER2-) early breast cancer (eBC).
7. Proteomics of tumor and serum samples from isocitrate dehydrogenase‐wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival?
8. Intérêt de l’outil web bc-GenExMiner en oncologie
9. Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches
10. The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
11. A Bayesian Approach for Partial Gaussian Graphical Models With Sparsity
12. STING-dependent paracriny shapes apoptotic priming of breast tumors in response to anti-mitotic treatment
13. Supplementary Data from Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy
14. Data from Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy
15. Data from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
16. Data from CD95L Cell Surface Cleavage Triggers a Prometastatic Signaling Pathway in Triple-Negative Breast Cancer
17. Supplementary Figure 3 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
18. Supplementary Figure 5 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
19. Supplementary Figures 1 - 5 from CD95L Cell Surface Cleavage Triggers a Prometastatic Signaling Pathway in Triple-Negative Breast Cancer
20. Supplementary Methods from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
21. Supplementary Figure 2 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
22. Supplementary Figure 1 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
23. Supplementary Figure 4 from Epithelial-to-Mesenchymal Transition Induced by TGF-β1 Is Mediated by Blimp-1–Dependent Repression of BMP-5
24. Supplementary Methods from CD95L Cell Surface Cleavage Triggers a Prometastatic Signaling Pathway in Triple-Negative Breast Cancer
25. Abstract P5-02-37: Multi-omics approach to identify markers of resistance to endocrine therapy + CDK4/6 inhibitors in first line HR+/HER2- metastatic breast cancer (MBC) patients
26. Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications
27. Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial
28. A Bayesian Approach for Partial Gaussian Graphical Models With Sparsity.
29. Survivin contributes to DNA repair by homologous recombination in breast cancer cells
30. Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy
31. Deformable image registration with deep network priors: a study on longitudinal PET images
32. PERCIST-like response assessment with FDG PET based on automatic segmentation of all lesions in metastatic breast cancer.
33. Impact of HER2 Status on Pathological Response after Neoadjuvant Chemotherapy in Early Triple-Negative Breast Cancer
34. Liste des auteurs
35. Comment on ‘How the evolution of multicellularity set the stage for cancer’
36. Abstract OT1-20-01: Feasibility of creation of a clinico-biological database: A prospective longitudinal cohort study of metastatic breast cancer patients (epicuresein)
37. Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer
38. Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment
39. Rucaparib in patients presenting a metastatic breast cancer with homologous recombination deficiency, without germline BRCA1/2 mutation
40. Abstract PS3-19: Prognostic value of textural associated with metabolic parameters of baseline 18FDG-PET/CT in early triple-negative breast cancer (TNBC)
41. Random forest of perfect trees: concept, performance, applications and perspectives
42. bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses
43. A partial graphical model with a structural prior on the direct links between predictors and responses
44. Unpaired PET/CT image synthesis of liver region using CycleGAN
45. Rucaparib in patients presenting a metastatic breast cancer with Homologous Recombination Deficiency, without germline BRCA1/2 mutation
46. Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches
47. Identification of paclitaxel resistance through a new statistical approach based on a random forest of perfect trees classifcation.
48. RE: Immune Checkpoint Profiles in Luminal B Breast Cancer (Alliance)
49. Abstract P4-06-11: High immune response identified as a good prognostic factor by proteomic SWATH-MS approach in 157 ER+/HER2- early breast cancer
50. Correction: CD95L Cell Surface Cleavage Triggers a Prometastatic Signaling Pathway in Triple-Negative Breast Cancer
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