[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis

M Picard, MP Scott-Boyer, A Bodein, O Périn… - Computational and …, 2021 - Elsevier
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …

Integrated multi-omics analyses in oncology: a review of machine learning methods and tools

G Nicora, F Vitali, A Dagliati, N Geifman… - Frontiers in …, 2020 - frontiersin.org
In recent years, high-throughput sequencing technologies provide unprecedented
opportunity to depict cancer samples at multiple molecular levels. The integration and …

Global mapping of cancers: The Cancer Genome Atlas and beyond

C Ganini, I Amelio, R Bertolo, P Bove… - Molecular …, 2021 - Wiley Online Library
Cancer genomes have been explored from the early 2000s through massive exome
sequencing efforts, leading to the publication of The Cancer Genome Atlas in 2013 …

The p53 family member p73 in the regulation of cell stress response

JM Rozenberg, S Zvereva, A Dalina, I Blatov, I Zubarev… - Biology direct, 2021 - Springer
During oncogenesis, cells become unrestrictedly proliferative thereby altering the tissue
homeostasis and resulting in subsequent hyperplasia. This process is paralleled by …

Can COVID-19 pandemic boost the epidemic of neurodegenerative diseases?

A Verkhratsky, Q Li, S Melino, G Melino, Y Shi - Biology direct, 2020 - Springer
Abstract The pandemic of Coronavirus Disease 2019 (COVID-19) presents the world with
the medical challenge associated with multifactorial nature of this pathology. Indeed COVID …

Liquid biopsies and cancer omics

I Amelio, R Bertolo, P Bove, OC Buonomo… - Cell Death …, 2020 - nature.com
The development of the sequencing technologies allowed the generation of huge amounts
of molecular data from a single cancer specimen, allowing the clinical oncology to enter the …

Low level of plasminogen increases risk for mortality in COVID-19 patients

D Della-Morte, F Pacifici, C Ricordi, R Massoud… - Cell death & …, 2021 - nature.com
The pathophysiology of coronavirus disease 2019 (COVID-19), caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), and especially of its complications is still …

A deep learning-based framework for predicting survival-associated groups in colon cancer by integrating multi-omics and clinical data

S Salimy, H Lanjanian, K Abbasi, M Salimi, A Najafi… - Heliyon, 2023 - cell.com
Precise prognostic classification of patients and identifying survival subgroups and their
associated genes can be important clinical references when designing treatment strategies …

Cancer predictive studies

I Amelio, R Bertolo, P Bove, E Candi, M Chiocchi… - Biology direct, 2020 - Springer
The identification of individual or clusters of predictive genetic alterations might help in
defining the outcome of cancer treatment, allowing for the stratification of patients into …

NUAK2 and RCan2 participate in the p53 mutant pro-tumorigenic network

E Mammarella, C Zampieri, E Panatta, G Melino… - Biology Direct, 2021 - Springer
Most inactivating mutations in TP53 gene generates neomorphic forms of p53 proteins that
experimental evidence and clinical observations suggest to exert gain-of-function effects …