Research Insights
Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.
Challenges and Progress in RNA Velocity: Comparative Analysis Across Multiple Biological Contexts
Singlecell RNA sequencing is revolutionizing our understanding of cell state dynamics allowing researchers to capture and quantify the transcriptomic profile of a single cell at a specific timepoint Among the computational
Supervised Deep Learning with Gene Functional Annotation for Cell Classification
Genebygene differential expression analysis is a widely used supervised approach for interpreting singlecell RNAsequencing scRNAseq data However modern scRNAseq datasets often contain
Fung-AI: An AI/ML-driven Pipeline for Antifungal Peptide Discovery
Emerging fungal pathogens represent a concerning threat to both global health and food security In this study we aimed to address our rising vulnerability to fungal pathogens through the development
Combining Machine Learning and Iterative Experiments to keep pace with Emerging Viral Variants of Concern
Modeling and predicting viral mutations before they emerge plays a crucial role in pandemic preparedness enabling the early identification of emerging variants of concern VOCs and guiding timely updates
Heterogeneous Biological Graph Convolutional Network for Drug-target Interaction Prediction
Drugtarget interaction prediction plays a critical role in drug discovery by identifying potential therapeutic targets and elucidating underlying molecular mechanisms Howeve
Exploring Hypoxia-related Genes as Prognostic Indicators in Lung Adenocarcinoma
Lung adenocarcinoma LUAD is a leading cause of cancerrelated mortality with hypoxia contributing to tumor progression
Mapping Metabolic Reprogramming in Lung and Breast Cancer Through Integrative Bioinformatics
Metabolic reprogramming is central to cancer biology enabling tumor cells to sustain rapid proliferation resist stress and adapt to therapy However these alterations are highly heterogeneous across cancer types
Interpretable miRNA-based Prediction Model for Early Detection of Pancreatic Cancer: Development and Cross-platform Validation
Pancreatic cancer remains one of the most lethal malignancies largely due to delayed diagnosis Although microRNA miRNA biomarkers show promise many previous studies lack crossplatform validation
Systematic Identification of Pan-cancer Single-gene Expression Biomarkers in Drug High-throughput Screens
Precision oncology relies on molecular biomarkers to stratify patients into responders and nonresponders to a given treatment Although gene expression profiles have historically been explored for biomarker discovery
Uncovering the Mechanisms of Synergistic Drug Combinations in Non-small Cell Lung Cancer Through Metagene-based Classification
Drug resistance remains a significant challenge in treating nonsmall cell lung cancer NSCLC Identifying synergistic drug combinations that simultaneously target multiple signaling pathways is crucial
