[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …
number of omics data that seek to portray many different but complementary biological …
Cancer immunotherapy: it's time to better predict patients' response
C Pilard, M Ancion, P Delvenne, G Jerusalem… - British journal of …, 2021 - nature.com
In less than a decade, half a dozen immune checkpoint inhibitors have been approved and
are currently revolutionising the treatment of many cancer (sub) types. With the clinical …
are currently revolutionising the treatment of many cancer (sub) types. With the clinical …
A systematic review on biomarker identification for cancer diagnosis and prognosis in multi-omics: from computational needs to machine learning and deep learning
Biomarkers, also known as biological markers, are substances like transcripts,
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …
Genome-wide association study of bladder cancer reveals new biological and translational insights
Background Genomic regions identified by genome-wide association studies (GWAS) for
bladder cancer risk provide new insights into etiology. Objective To identify new …
bladder cancer risk provide new insights into etiology. Objective To identify new …
Multi-omics analysis: Paving the path toward achieving precision medicine in cancer treatment and immuno-oncology
V Raufaste-Cazavieille, R Santiago… - Frontiers in Molecular …, 2022 - frontiersin.org
The acceleration of large-scale sequencing and the progress in high-throughput
computational analyses, defined as omics, was a hallmark for the comprehension of the …
computational analyses, defined as omics, was a hallmark for the comprehension of the …
Deletions on 9p21 are associated with worse outcomes after anti-PD-1/PD-L1 monotherapy but not chemoimmunotherapy
EM Ebot, DL Duncan, K Tolba, D Fabrizio… - NPJ Precision …, 2022 - nature.com
NCCN guidelines for first-line treatment of advanced non-squamous non-small-cell lung
cancer (NSCLC) patients without targetable driver alterations includes either …
cancer (NSCLC) patients without targetable driver alterations includes either …
[HTML][HTML] Multi‐omics consensus ensemble refines the classification of muscle‐invasive bladder cancer with stratified prognosis, tumour microenvironment and distinct …
Dear Editor, The molecular classification of muscle-invasive bladder cancer (MIBC) based
on transcriptomic signatures has been extensively studied. 1–4 The complementary nature …
on transcriptomic signatures has been extensively studied. 1–4 The complementary nature …
Co-expression of cancer-testis antigens of MAGE-A6 and MAGE-A11 is associated with tumor aggressiveness in patients with bladder cancer
Melanoma antigen gene (MAGE)-A6 and MAGE-A11 are two of the most cancer-testis
antigens overexpressed in various types of cancers. However, the clinical and prognosis …
antigens overexpressed in various types of cancers. However, the clinical and prognosis …
MicroRNAs as regulators of immune checkpoints in cancer immunotherapy: targeting PD-1/PD-L1 and CTLA-4 pathways
A Zabeti Touchaei, S Vahidi - Cancer Cell International, 2024 - Springer
Immunotherapy has revolutionized cancer treatment by harnessing the power of the immune
system to eliminate tumors. Immune checkpoint inhibitors (ICIs) block negative regulatory …
system to eliminate tumors. Immune checkpoint inhibitors (ICIs) block negative regulatory …
Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction
Background Current methods for analyzing single-cell datasets have relied primarily on
static gene expression measurements to characterize the molecular state of individual cells …
static gene expression measurements to characterize the molecular state of individual cells …