All Stories

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