Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …
emerging that have enabled researchers to access multi-layer information from the genome …
[HTML][HTML] Integrated multi-omics analyses in oncology: a review of machine learning methods and tools
In recent years, high-throughput sequencing technologies provide unprecedented
opportunity to depict cancer samples at multiple molecular levels. The integration and …
opportunity to depict cancer samples at multiple molecular levels. The integration and …
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 …
[HTML][HTML] Integrated multi-omics analysis of ovarian cancer using variational autoencoders
Cancer is a complex disease that deregulates cellular functions at various molecular levels
(eg, DNA, RNA, and proteins). Integrated multi-omics analysis of data from these levels is …
(eg, DNA, RNA, and proteins). Integrated multi-omics analysis of data from these levels is …
[HTML][HTML] Computational oncology in the multi-omics era: state of the art
G de Anda-Jáuregui, E Hernández-Lemus - Frontiers in oncology, 2020 - frontiersin.org
Cancer is the quintessential complex disease. As technologies evolve faster each day, we
are able to quantify the different layers of biological elements that contribute to the …
are able to quantify the different layers of biological elements that contribute to the …
[HTML][HTML] 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 …
[HTML][HTML] Single-cell multiomics techniques: from conception to applications
MA Dimitriu, I Lazar-Contes, M Roszkowski… - Frontiers in cell and …, 2022 - frontiersin.org
Recent advances in methods for single-cell analyses and barcoding strategies have led to
considerable progress in research. The development of multiplexed assays offers the …
considerable progress in research. The development of multiplexed assays offers the …
Genomic data imputation with variational auto-encoders
Background As missing values are frequently present in genomic data, practical methods to
handle missing data are necessary for downstream analyses that require complete data …
handle missing data are necessary for downstream analyses that require complete data …
[HTML][HTML] Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes
Background Radiomics-based non-invasive biomarkers are promising to facilitate the
translation of therapeutically related molecular subtypes for treatment allocation of patients …
translation of therapeutically related molecular subtypes for treatment allocation of patients …
[HTML][HTML] Circulating cell-free nucleic acids as epigenetic biomarkers in precision medicine
The circulating cell-free nucleic acids (ccfNAs) are a mixture of single-or double-stranded
nucleic acids, released into the blood plasma/serum by different tissues via apoptosis …
nucleic acids, released into the blood plasma/serum by different tissues via apoptosis …