All Stories

  1. Tumor-normal sequencing reveals novel TP53 germline and clinically actionable somatic mutations in Nigerian breast cancer patients
  2. A practical guide to identifying associations between tandem repeats and complex human traits using consensus genotypes from multiple tools
  3. An Extended Feature Representation Technique for Predicting Sequenced-based Host-pathogen Protein-protein Interaction
  4. Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network
  5. Application of Deep learning Algorithms On Protein Function Prediction: A Systematic Review
  6. Current Trend and Performance Evaluation of Machine Learning Methods for Predicting Host-Pathogen Protein-Protein Interactions
  7. Mathematical modeling of malaria transmission dynamics in humans with mobility and control states
  8. Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster
  9. Systematic Review on the Recent Trends of Cybersecurity in Automobile Industry
  10. Machine learning algorithms: their applications in plant omics and agronomic traits’ improvement
  11. Machine learning approach to gene essentiality prediction: a review
  12. An Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer Dataset
  13. Essential gene prediction in Drosophila melanogaster using machine learning approaches based on sequence and functional features
  14. Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm
  15. Gene Expression Profiling Analysis Reveals Putative Phytochemotherapeutic Target for Castration-Resistant Prostate Cancer
  16. Epidemiology of Plasmodium falciparum infection and drug resistance markers in Ota Area, Southwestern Nigeria
  17. Potential Anti-Cancer Flavonoids Isolated From Caesalpinia bonduc Young Twigs and Leaves: Molecular Docking and In Silico Studies
  18. Inter-Species/Host-Parasite Protein Interaction Predictions Reviewed
  19. Effectiveness of model-based clustering in analyzing Plasmodium falciparum RNA-seq time-course data
  20. Computational analysis of Plasmodium falciparum RNA-Seq data reveals PPIs that might be implicated in the invasion of the RBCs
  21. In Silico Knockout Screening of Plasmodium falciparum Reactions and Prediction of Novel Essential Reactions by Analysing the Metabolic Network
  22. The use of our genetic information for better health
  23. Functional enrichment of human protein complexes in malaria parasites
  24. Effectiveness of model-based clustering in analyzing Plasmodium falciparum RNA-seq time-course data
  25. Development of Bioinformatics Infrastructure for Genomics Research
  26. Cluster analysis of Plasmodium RNA-seq time-course data
  27. Modeling of the Glycolysis Pathway in Plasmodium falciparum using Petri Nets
  28. Clustering Algorithms: Their Application to Gene Expression Data
  29. H3ABioNet, a sustainable pan-African bioinformatics network for human heredity and health in Africa
  30. Bioinformatics, Healthcare Informatics and Analytics: An Imperative for Improved Healthcare System
  31. In Silico Gene Regulatory Network of the Maurer's Cleft Pathway in Plasmodium falciparum
  32. Design and Implementation of Text To Speech Conversion for Visually Impaired People
  33. Reducing the Time Requirement of k-Means Algorithm
  34. Computational identification of signalling pathways in Plasmodium falciparum