[HTML][HTML] MetaCancer: a deep learning-based pan-cancer metastasis prediction model developed using multi-omics data

S Albaradei, F Napolitano, MA Thafar… - Computational and …, 2021 - Elsevier
Predicting metastasis in the early stages means that clinicians have more time to adjust a
treatment regimen to target the primary and metastasized cancer. In this regard, several …

[HTML][HTML] Copy number variation in triple negative breast cancer samples associated with lymph node metastasis

M Pariyar, A Johns, RF Thorne, RJ Scott… - Neoplasia, 2021 - Elsevier
Triple negative breast cancer (TNBC) is a highly metastatic and aggressive subtype of
breast cancer and cases presenting with lymph node involvement have worse outcomes …

Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin

A Gonzalez-Reymundez, AI Vázquez - Scientific reports, 2020 - nature.com
Despite recent advances in treatment, cancer continues to be one of the most lethal human
maladies. One of the challenges of cancer treatment is the diversity among similar tumors …

The genomic landscape of metastasis in treatment-naive breast cancer models

C Ross, K Szczepanek, M Lee, H Yang, T Qiu… - PLoS …, 2020 - journals.plos.org
Metastasis remains the principle cause of mortality for breast cancer and presents a critical
challenge because secondary lesions are often refractory to conventional treatments. While …

OCEAN: Flexible Feature Set Aggregation for Analysis of Multi-omics Data

M Ebrahimpoor, R Menezes, N Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
Integrated analysis of multi-omics datasets holds great promise for uncovering complex
biological processes. However, the large dimension of omics data poses significant …

Lipidomics investigations into the tissue phospholipidomic landscape of invasive ductal carcinoma of the breast

R Taware, TH More, M Bagadi, K Taunk, A Mane… - RSC …, 2021 - pubs.rsc.org
The need of identifying alternative therapeutic targets for invasive ductal carcinoma (IDC) of
the breast with high specificity and sensitivity for effective therapeutic intervention is crucial …

DNA methylation and gene expression with clinical covariates explain variation in aggressiveness and survival of pancreatic cancer patients

S Mukerjee, A Gonzalez-Reymundez, SY Lunt… - Cancer …, 2020 - Taylor & Francis
Pancreatic cancer (PC) is associated with a high mortality rate. We explored the
interindividual variation of cancer outcomes, attributable to DNA methylation, gene …

Omics-based Metastasis Prediction using Machine Learning and Deep Learning.

S Albaradei - 2022 - repository.kaust.edu.sa
Knowing metastasis is the primary cause of cancer-related deaths incentivized research to
unravel the complex cellular processes that drive the metastasis. Advancement in …

[图书][B] A Framework for Biological Data Integration and Feature Selection in Large Data Sets

A Gonzalez-Reymundez - 2021 - search.proquest.com
The increasing volume of high-dimensional biological data (omics) has intensified the
discovery of thousands of biomarkers across the different fundamental components of the …

Decoding the patterns of clonal dynamics in breast cancer metastasis using single-cell sequencing in patient-derived xenograft models

H Lee - 2021 - open.library.ubc.ca
Introduction: Selection and evolution of tumour cells occurs during cancer progression and
metastasis. Understanding the mechanism of clonal dynamics and evolution is an important …