Category: BioData Mining

Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes

Selcen Ari Yuka and Alper Yilmaz Edit "Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes"
Competing endogenous RNAs play key roles in cellular molecular mechanisms through cross-talk in post-transcriptional interactions. Studies on ceRNA cross-talk, which is particularly dependent on the abundance ...

A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer

Regan Odongo, Asuman Demiroglu-Zergeroglu and Tunahan Çakır Edit "A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer"
Prioritizing candidate drugs based on genome-wide expression data is an emerging approach in systems pharmacology due to its holistic perspective for preclinical drug evaluation. In the current study, a networ...

DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping

Sana Munquad and Asim Bikas Das Edit "DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping"
The classification of glioma subtypes is essential for precision therapy. Due to the heterogeneity of gliomas, the subtype-specific molecular pattern can be captured by integrating and analyzing high-throughpu...

Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods

Sofia Martins, Roberta Coletti and Marta B. Lopes Edit "Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods"
Gliomas are primary malignant brain tumors with poor survival and high resistance to available treatments. Improving the molecular understanding of glioma and disclosing novel biomarkers of tumor development a...

Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis

JiYoon Park, Jae Won Lee and Mira Park Edit "Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis"
Cancer subtype identification is important for the early diagnosis of cancer and the provision of adequate treatment. Prior to identifying the subtype of cancer in a patient, feature selection is also crucial ...

ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization

Weiquan Pan, Faning Long and Jian Pan Edit "ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization"
Single-cell RNA-sequencing (scRNA-seq) data can serve as a good indicator of cell-to-cell heterogeneity and can aid in the study of cell growth by identifying cell types. Recently, advances in Variational Auto...