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OpenAlex topic

Bioinformatics and Genomic Networks

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,333 works 71 author topics

Works

1,333 works

  1. Discovery of Therapeutic Targets and Drugs for Prostate Adenocarcinoma by Drug Repositioning Approach 2026

    No abstract yet.

  2. Annotation-Based Clustering Reveals Functional Transcript Modules Involved in Stress Response and Metabolic Pathways in Cinnamomum 2026

    Deciphering the functional architecture of the transcriptome is essential for understanding molecular regulation and biological complexity, particularly in non-model plant species. Most transcriptomic studies rely primarily on expression-level comparisons, which may overlook higher-order functional organization. Here,…

  3. Revisiting Reconstruction Likelihood: Variational Autoencoders for Biological and Biomedical Data Clustering 2026

    Abstract Background and Objective Variational Autoencoders (VAEs) offer a powerful framework for unsupervised anomaly detection and data clustering, often surpassing traditional methods. A core strength of VAEs lies in their ability to model data distributions probabilistically, enabling robust identification of anoma…

  4. Investigating and Assessing Diverse Strategies and Classification Techniques Applied in the Integration of Multi-Omics Data 2026

    No abstract yet.

  5. RGE-GCN: Recursive Gene Elimination with Graph Convolutional Networks for RNA-seq based Early Cancer Detection 2026

    No abstract yet.

  6. Cell-cycle-interferon coordination changes across proliferative states in TNBC/basal-like breast cancer 2026

    Cohort-wide pathway correlations can hide strong relationships that differ across tumor states. We asked whether this occurs in TNBC/basal-like breast cancer by ordering tumors on prespecified Hallmark pathway axes and comparing pathway correlations in fixed low and high states under complete-family error control. The…

  7. VarXOmics: A Versatile Web Server for Genomic Data Querying, Analysis, and Variant Prioritization With Multi-omics Insights 2026

    • VarXOmics is an integrated and versatile web server for genomic data querying, variant analysis, and prioritization. • It consolidates multi-omics datasets of eQTL, pQTL, GWAS, MR, and pharmacogenomics information to provide holistic insights into the diverse effects of genetic variation. • It facilitates the identi…

  8. Mutation-centric Network Construction using Long-Range Interactions 2026

    Abstract Somatic mutations can alter normal cells and lead to cancer development. Yet distinguishing functional driver mutations from neutral passenger mutations remains a significant challenge. Traditional genomic tools often prioritize linear overlap searches, failing to capture the complex, three-dimensional regula…

  9. A Robust Framework for Predicting Mutation Effects on Transcription Factor Binding: Insights from Mutational Signatures in 560 Breast Cancer Genomes 2026

    No abstract yet.

  10. A Robust Framework for Predicting Mutation Effects on Transcription Factor Binding: Insights from Mutational Signatures in 560 Breast Cancer Genomes 2026

    Abstract Background A vast majority of somatic mutations in cancer reside in non-coding regions, yet systematically predicting their functional impact on gene regulation remains a significant challenge. These variants often enforce their effects by altering the binding affinity of transcription factors (TFs) to cis-re…

  11. KIF11 as a druggable target in NSCLC: An integrated computational analysis. 2026

    e20716 Background: Non-small cell lung cancer (NSCLC) in non-smoking women represents a biologically distinct subgroup in which actionable therapeutic targets can be identified and may also have broader relevance across diverse NSCLC subgroups. This study aimed to identify hub genes from tumor-normal transcriptomics a…

  12. Integrative Network-Based Transcriptomic Analysis Identifies Niclosamide as a Candidate Repositioned Drug for Breast Cancer 2026

    Purpose: Breast cancer (BC) is a highly heterogeneous malignancy, and current treatments often suffer from toxicity, limited selectivity, and high cost. This study aimed to integrate transcriptome-level data, multi-layered network analysis, and drug repositioning strategies to identify candidate diagnostic and prognos…

Academicians

71 academicians