An overview of mathematical modelling in cancer research: fractional calculus as modelling tool
LC Vieira, RS Costa, D Valério - Fractal and Fractional, 2023 - mdpi.com
Cancer is a complex disease, responsible for a significant portion of global deaths. The
increasing prioritisation of know-why over know-how approaches in biological research has …
increasing prioritisation of know-why over know-how approaches in biological research has …
Anthropogenic influence on extreme precipitation over global land areas seen in multiple observational datasets
The intensification of extreme precipitation under anthropogenic forcing is robustly projected
by global climate models, but highly challenging to detect in the observational record. Large …
by global climate models, but highly challenging to detect in the observational record. Large …
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
The lack of explainability is one of the most prominent disadvantages of deep learning
applications in omics. This 'black box'problem can undermine the credibility and limit the …
applications in omics. This 'black box'problem can undermine the credibility and limit the …
MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification
Motivation Accurate diagnostic classification and biological interpretation are important in
biology and medicine, which are data-rich sciences. Thus, integration of different data types …
biology and medicine, which are data-rich sciences. Thus, integration of different data types …
Identifying common transcriptome signatures of cancer by interpreting deep learning models
Background Cancer is a set of diseases characterized by unchecked cell proliferation and
invasion of surrounding tissues. The many genes that have been genetically associated with …
invasion of surrounding tissues. The many genes that have been genetically associated with …
Anti-biofilm: Machine learning assisted prediction of IC50 activity of chemicals against biofilms of microbes causing antimicrobial resistance and implications in drug …
Biofilms are one of the leading causes of antibiotic resistance. It acts as a physical barrier
against the human immune system and drugs. The use of anti-biofilm agents helps in …
against the human immune system and drugs. The use of anti-biofilm agents helps in …
GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expression
Motivation Medical care is becoming more and more specific to patients' needs due to the
increased availability of omics data. The application to these data of sophisticated machine …
increased availability of omics data. The application to these data of sophisticated machine …
Deep learning explains the biology of branched glycans from single-cell sequencing data
Glycosylation is ubiquitous and often dysregulated in disease. However, the regulation and
functional significance of various types of glycosylation at cellular levels is hard to unravel …
functional significance of various types of glycosylation at cellular levels is hard to unravel …
Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data
SR Oshternian, S Loipfinger, A Bhattacharya… - BMC …, 2024 - Springer
Background Numerous transcriptomic-based models have been developed to predict or
understand the fundamental mechanisms driving biological phenotypes. However, few …
understand the fundamental mechanisms driving biological phenotypes. However, few …
Attention-based GCN integrates multi-omics data for breast cancer subtype classification and patient-specific gene marker identification
H Guo, X Lv, Y Li, M Li - Briefings in Functional Genomics, 2023 - academic.oup.com
Breast cancer is a heterogeneous disease and can be divided into several subtypes with
unique prognostic and molecular characteristics. The classification of breast cancer …
unique prognostic and molecular characteristics. The classification of breast cancer …