[HTML][HTML] Liquid biopsy, ctDNA diagnosis through NGS

C Lin, X Liu, B Zheng, R Ke, CM Tzeng - Life, 2021 - mdpi.com
Liquid biopsy with circulating tumor DNA (ctDNA) profiling by next-generation sequencing
holds great promise to revolutionize clinical oncology. It relies on the basis that ctDNA …

In silico polypharmacology of natural products

J Fang, C Liu, Q Wang, P Lin… - Briefings in bioinformatics, 2018 - academic.oup.com
Natural products with polypharmacological profiles have demonstrated promise as novel
therapeutics for various complex diseases, including cancer. Currently, many gaps exist in …

Evaluating the evaluation of cancer driver genes

CJ Tokheim, N Papadopoulos, KW Kinzler… - Proceedings of the …, 2016 - pnas.org
Sequencing has identified millions of somatic mutations in human cancers, but
distinguishing cancer driver genes remains a major challenge. Numerous methods have …

Improving cancer driver gene identification using multi-task learning on graph convolutional network

W Peng, Q Tang, W Dai, T Chen - Briefings in bioinformatics, 2022 - academic.oup.com
Cancer is thought to be caused by the accumulation of driver genetic mutations. Therefore,
identifying cancer driver genes plays a crucial role in understanding the molecular …

Performance evaluation of pathogenicity-computation methods for missense variants

J Li, T Zhao, Y Zhang, K Zhang, L Shi… - Nucleic acids …, 2018 - academic.oup.com
With expanding applications of next-generation sequencing in medical genetics, increasing
computational methods are being developed to predict the pathogenicity of missense …

MODIG: integrating multi-omics and multi-dimensional gene network for cancer driver gene identification based on graph attention network model

W Zhao, X Gu, S Chen, J Wu, Z Zhou - Bioinformatics, 2022 - academic.oup.com
Motivation Identifying genes that play a causal role in cancer evolution remains one of the
biggest challenges in cancer biology. With the accumulation of high-throughput multi-omics …

Application of computational biology and artificial intelligence technologies in cancer precision drug discovery

N Nagarajan, EKY Yapp, NQK Le… - BioMed research …, 2019 - Wiley Online Library
Artificial intelligence (AI) proves to have enormous potential in many areas of healthcare
including research and chemical discoveries. Using large amounts of aggregated data, the …

deepDriver: predicting cancer driver genes based on somatic mutations using deep convolutional neural networks

P Luo, Y Ding, X Lei, FX Wu - Frontiers in genetics, 2019 - frontiersin.org
With the advances in high-throughput technologies, millions of somatic mutations have been
reported in the past decade. Identifying driver genes with oncogenic mutations from these …

[HTML][HTML] The emerging potential for network analysis to inform precision cancer medicine

K Ozturk, M Dow, DE Carlin, R Bejar… - Journal of molecular …, 2018 - Elsevier
Precision cancer medicine promises to tailor clinical decisions to patients using genomic
information. Indeed, successes of drugs targeting genetic alterations in tumors, such as …

A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes

T Zhang, SW Zhang, MY **e, Y Li - Briefings in Bioinformatics, 2023 - academic.oup.com
Identifying cancer driver genes plays a curial role in the development of precision oncology
and cancer therapeutics. Although a plethora of methods have been developed to tackle this …