Launch week offerEnds in00h00m00s

annual Promonthly Pro

DANIELE RAMAZZOTTI

Associate Professor

University of Milano-Bicocca

Italy

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Italy Professors in Cell Biology Cell Biology professors in Italy

About

Dr. Daniele Ramazzotti is an Associate Professor at the University of Milano-Bicocca, Italy. His research focuses on multi-omics analysis, cancer biomarkers, and mutational processes in tumors. Recent articles highlight his work on integrating genomic data to identify prognostic signatures in various cancer types, including breast and prostate cancers. He is also involved in developing methodologies for cancer classification and analysis of tumor behaviors related to specific mutations.

Articles (16)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

ITALY

View details

Alberto Bravin

Docenti di ruolo di Ia fascia

Università degli Studi di Milano-Bicocca Dipartimento di Fisica Giuseppe Occhialini

ITALY

View details

Alex Graudenzi

Tenure Track Researcher

University of Milano-Bicocca

ITALY

View details

PETER W LAIRD

Professor, Peter and Emajean Cook Endowed Chair in Epigenetics

Van Andel Institute

UNITED STATES

View details

Massimiliano Cadamuro

Docenti di ruolo di IIa fascia

University of Milano-Bicocca

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

DANIELE RAMAZZOTTI

Research Interests

Make your next move.

Explore related searches

About

Articles (16)

Palbociclib targets β-catenin for degradation and synergizes with KRAS or ERK5 inhibition in colorectal cancer preclinical models

Liquid biopsies reveal dual compartments of cancer risk from tumor and host-derived mutations

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review

Prognostic Score for Myelodysplastic Syndromes Based on Molecular Evolution

Integrative analysis of KEAP1/NFE2L2 alterations across 3600+ tumors reveals an NRF2 expression signature as a prognostic biomarker in cancer

Comprehensive analysis of mutational processes across 20 000 adult and pediatric tumors

Integrative multi-omics analysis enables a comprehensive characterization of prostate cancer and unveils metastasis-associated candidate biomarkers

Protocol for assessing distances in pathway space for classifier feature sets from machine learning methods

Protocol for obtaining cancer type and subtype predictions using subSCOPE

Prognostic Biomarkers in Breast Cancer via Multi-Omics Clustering Analysis

Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets

BASCULE: bayesian inference and clustering of mutational signatures leveraging biological priors.

Hb Monza: A novel extensive HBB duplication with preserved α-β subunit interaction and unstable hemoglobin phenotype

Recurrent somatic mutations of FAT family cadherins induce an aggressive phenotype and poor prognosis in anaplastic large cell lymphoma

Anaplastic Lymphoma Kinase (ALK) Inhibitors Enhance Phagocytosis Induced by CD47 Blockade in Sensitive and Resistant ALK-Driven Malignancies

Collaborators (10)

Marco Antoniotti

Laura Russo

Giulio Caravagna

Alfonso Zambon

Nicoletta Cordani

Luca Mologni

Alberto Bravin

Alex Graudenzi

PETER W LAIRD

Massimiliano Cadamuro

Make your next move.