Graph machine learning for integrated multi-omics analysis
Multi-omics experiments at bulk or single-cell resolution facilitate the discovery of hypothesis-
generating biomarkers for predicting response to therapy, as well as aid in uncovering …
generating biomarkers for predicting response to therapy, as well as aid in uncovering …
GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype
Motivation Asthma is a heterogeneous disease where various subtypes are established and
molecular biomarkers of the subtypes are yet to be discovered. Recent availability of multi …
molecular biomarkers of the subtypes are yet to be discovered. Recent availability of multi …
GNN-surv: Discrete-Time Survival Prediction Using Graph Neural Networks
SY Kim - Bioengineering, 2023 - mdpi.com
Survival prediction models play a key role in patient prognosis and personalized treatment.
However, their accuracy can be improved by incorporating patient similarity networks, which …
However, their accuracy can be improved by incorporating patient similarity networks, which …
Network modeling links kidney developmental programs and the cancer type-specificity of VHL mutations
X Dong, D Zhang, X Zhang, Y Liu, Y Liu - NPJ Systems Biology and …, 2024 - nature.com
Elucidating the molecular dependencies behind the cancer-type specificity of driver
mutations may reveal new therapeutic opportunities. We hypothesized that developmental …
mutations may reveal new therapeutic opportunities. We hypothesized that developmental …
Dynamic factor analysis with dependent Gaussian processes for high-dimensional gene expression trajectories
The increasing availability of high-dimensional, longitudinal measures of gene expression
can facilitate understanding of biological mechanisms, as required for precision medicine …
can facilitate understanding of biological mechanisms, as required for precision medicine …
Identifying driver modules based on multi‐omics biological networks in prostate cancer
Z Chen, B Liang, Y Wu, H Zhou, Y Wang… - IET Systems …, 2022 - Wiley Online Library
The development of sequencing technology has promoted the expansion of cancer genome
data. It is necessary to identify the pathogenesis of cancer at the molecular level and explore …
data. It is necessary to identify the pathogenesis of cancer at the molecular level and explore …
[HTML][HTML] Integrated analysis of-omic landscapes in breast cancer subtypes
S Davitavyan, G Martirosyan, G Mkrtchyan… - …, 2024 - f1000research.com
The subtypes of breast cancer exhibit diverse histology, molecular features, therapeutic
response, aggressiveness, and patient outcomes. Multi-omics high-throughput technologies …
response, aggressiveness, and patient outcomes. Multi-omics high-throughput technologies …