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21 results on '"Micarelli, E."'

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1. Assessment of network module identification across complex diseases

3. Assessment of network module identification across complex diseases

4. VENUS, a Novel Selection Approach to Improve the Accuracy of Neoantigens’ Prediction

5. Maximizing cancer therapy via complementary mechanisms of immune activation: PD-1 blockade, neoantigen vaccination, and Tregs depletion

6. Phase I Trial of Viral Vector-Based Personalized Vaccination Elicits Robust Neoantigen-Specific Antitumor T-Cell Responses.

7. Vector Aided Microenvironment programming (VAMP): reprogramming the TME with MVA virus expressing IL-12 for effective antitumor activity.

8. Adenoviral-based vaccine promotes neoantigen-specific CD8 + T cell stemness and tumor rejection.

9. Transcription Factor Activation Profiles (TFAP) identify compounds promoting differentiation of Acute Myeloid Leukemia cell lines.

10. Maximizing cancer therapy via complementary mechanisms of immune activation: PD-1 blockade, neoantigen vaccination, and Tregs depletion.

11. VENUS, a Novel Selection Approach to Improve the Accuracy of Neoantigens' Prediction.

12. Phosphomatics: interactive interrogation of substrate-kinase networks in global phosphoproteomics datasets.

13. A Resource for the Network Representation of Cell Perturbations Caused by SARS-CoV-2 Infection.

14. Adipogenesis of skeletal muscle fibro/adipogenic progenitors is affected by the WNT5a/GSK3/β-catenin axis.

15. SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update.

16. CancerGeneNet: linking driver genes to cancer hallmarks.

17. Myo-REG: A Portal for Signaling Interactions in Muscle Regeneration.

18. Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis.

19. Fibro-adipogenic progenitors of dystrophic mice are insensitive to NOTCH regulation of adipogenesis.

20. Gradient impact of cognitive decline in unilateral vestibular hypofunction after rehabilitation: preliminary findings.

21. Vestibular impairment in Multiple Chemical Sensitivity: Component analysis findings.

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