MC
Michele Ceccarelli
University of Miami
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Cancer Immunotherapy and Biomarkers · Glioma Diagnosis and Treatment · Cancer Genomics and Diagnostics
0000-0002-4702-6617
About
Professor of Computer Science
Employment
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University of Miami Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (148)
- Chromatin-informed cell-free DNA approach for detection of clinically measurable disease in multiple myeloma Save
- Transposable Elements and Homotypic Niches Drive Immune Dynamics and Resistance in Melanoma Epigenetic-based immunotherapy Save
- Efficient Adaptation of Chemical Language Models for Molecular Property Prediction Save
- Immune microenvironment and non-coding RNA shape early colorectal carcinogenesis in patients with premalignant lesions Save
- Genome-Wide Methylome Modeling via Generative AI Incorporating Long- and Short-Range Interactions Save
- Leveraging mRNA technology for antigen based immuno-oncology therapies Save
- MiDNE a tool for Multi-omics genes and drugs interactions discovery Save
- MoNETA: MultiOmics Network Embedding for SubType Analysis Save
- Reinventing gene expression connectivity through regulatory and spatial structural empowerment via principal node aggregation graph neural network Save
- Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions Save
- Robust Feature Selection strategy detects a panel of microRNAs as putative diagnostic biomarkers in Breast Cancer Save
- MOViDA: multiomics visible drug activity prediction with a biologically informed neural network model Save
- MOViDA: Multi-Omics Visible Drug Activity Prediction with a Biologically Informed Neural Network Model Save
- A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data Save
- Pan-cancer onco-signatures reveal a novel mitochondrial subtype of luminal breast cancer with specific regulators Save
- Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning Save
- Decomprolute: A benchmarking platform designed for multiomics-based tumor deconvolution Save
- Immunotherapy for brain metastases and primary brain tumors Save
- Attentive deep learning-based tumor-only somatic mutation classifier achieves high accuracy agnostic of tissue type and capture kit Save
- A fast variational algorithm to detect the clonal copy number substructure of tumors from single-cell data Save