All Stories

  1. Bamboo-Enabled Nanomaterials for Biomedical Applications
  2. The Distribution of Average Pairwise Distances Among Human Pre-miRNAs for Disease Association Analysis
  3. Three-Dimensional Bioprinting and Rose-Inspired Medical Applications
  4. Forecasting Upper Bounds for Daily New COVID-19 Infections Using Tolerance Limits
  5. Distribution of microRNA Counts Across Human Chromosomes
  6. Medical Benefits and Polymer Applications of Grapes
  7. EWMA Control Chart Integrated with Time Series Models for COVID-19 Surveillance
  8. A Review of Nanotechnology in microRNA Detection and Drug Delivery
  9. Advantages of animal leather over alternatives and its medical applications
  10. Anti-NMDA Receptor Encephalitis, Human Papillomavirus, and microRNA
  11. Beneficial medicinal effects and material applications of rose
  12. The Potential of Collagen Treatment for Comorbid Diseases
  13. Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data
  14. Biomaterials in Medical Applications
  15. The Human Pre-miRNA Distance Distribution for Exploring Disease Association
  16. microRNA pathological mechanisms between Parkinson's disease, Alzheimer's disease, glaucoma and macular degeneration
  17. The distance distribution of human microRNAs in MirGeneDB database
  18. Phylogenetic Tree Selection by Testing Substitution Number in Clade
  19. Exploring the Causal Effect of Constipation on Parkinson’s Disease Through Mediation Analysis of Microbial Data
  20. A Pilot Study Exploring the Association of Entacapone, Gut Microbiota, and the Subsequent Side Effects in Patients With Parkinson’s Disease
  21. COVID−19, Anti-NMDA Receptor Encephalitis and MicroRNA
  22. microRNA Biomarkers in Clinical Study
  23. Multiple imputation confidence intervals for the mean of the discrete distributions for incomplete data
  24. A Review of the Effects of Collagen Treatment in Clinical Studies
  25. The Association between Migraine and Depression based on miRNA Biomarkers and Cohort Studies
  26. MicroRNAs, Multiple Sclerosis, and Depression
  27. Editorial: miRNAs and Neurological Diseases
  28. MicroRNAs, Parkinson’s Disease, and Diabetes Mellitus
  29. Confidence intervals for the proportion of conformance
  30. Exploring the Association of Autism Spectrum Disorders and Constipation through Analysis of the Gut Microbiome
  31. Phylogenetic analysis of microRNA biomarkers for amyotrophic lateral sclerosis
  32. The Generalized Bayes Method for High-Dimensional Data Recognition with Applications to Audio Signal Recognition
  33. MicroRNA, Diabetes Mellitus and Colorectal Cancer
  34. The Association between Depression and Gastroesophageal Reflux based on Phylogenetic Analysis of miRNA Biomarkers
  35. <p>Exploring Diversity of COVID‑19 Based on Substitution Distance</p>
  36. Monitoring Change Points by a Sign Change Method
  37. MicroRNAs and Apoptosis in Colorectal Cancer
  38. Constructing exact tolerance intervals for the exponential distribution based on record values
  39. Anti-NMDA Receptor Encephalitis: Efficacy of Treatment for Male Patients and miRNA Biomarker
  40. Logistic Regression Method for Ligand Discovery
  41. Exact two‐sided tolerance interval controlling tail proportions for sample variances
  42. Anti-NMDA Receptor Encephalitis, Vaccination and Virus
  43. Vaccines and Neurological Disease
  44. Phylogenetic Analysis to Explore the Association Between Anti-NMDA Receptor Encephalitis and Tumors Based on microRNA Biomarkers
  45. Tolerance interval for the mixture normal distribution
  46. Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles
  47. How can we identify Amyotrophic Lateral Sclerosis with blood test?
  48. A protocol for investigating the association of vaccination and anti-NMDA receptor encephalitis
  49. Constructing Tolerance Intervals for the Number of Defectives Using Both High- and Low-Resolution Data
  50. Why ALS is often associated with cancers?
  51. A control chart for the lognormal standard deviation
  52. Anti-NMDA Receptor Encephalitis and Vaccination
  53. Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis
  54. On the monitoring of mixture simple linear profiles
  55. Efficacies of treatments for anti-NMDA receptor encephalitis
  56. Corrigendum to “Variance estimation for nucleotide substitution models” [Mol. Phylogenet. Evol. 90 (2015) 97–103]
  57. Multivariate control charts based on the James–Stein estimator
  58. Variance estimation for nucleotide substitution models
  59. Control Charts for the Lognormal Mean
  60. Predicting Cancer-Related MiRNAs Using Expression Profiles in Tumor Tissue
  61. Correction: Investigating microRNA-Target Interaction-Supported Tissues in Human Cancer Tissues Based on miRNA and Target Gene Expression Profiling
  62. Investigating microRNA-Target Interaction-Supported Tissues in Human Cancer Tissues Based on miRNA and Target Gene Expression Profiling
  63. Shrinkage regression-based methods for microarray missing value imputation
  64. RRSM with a data-dependent threshold for miRNA target prediction
  65. Bayesian Ranking Responses in Multiple-Response Questions
  66. Protein-specific Scoring Method for Ligand Discovery
  67. Confidence intervals for a bounded mean in exponential families
  68. Phylogenetic tree selection by the adjustedk-means approach
  69. Human microRNA target identification by RRSM
  70. Yeast cell cycle transcription factors identification by variable selection criteria
  71. Confidence intervals for the substitution number in the nucleotide substitution models
  72. Constructing Biological Pathways by a Two-Step Counting Approach
  73. Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring
  74. Closed Form Prediction Intervals Applied for Disease Counts
  75. The monotone boundary property and the full coverage property of confidence intervals for a binomial proportion
  76. Comparison of control charts for low defective rate
  77. Increasing MicroRNA target prediction confidence by the relative R2 method
  78. Tolerance Intervals With Improved Coverage Probabilities for Binomial and Poisson Variables
  79. Improved variance estimators for one- and two-parameter models of nucleotide substitution
  80. Confidence intervals for the mean of a normal distribution with restricted parameter space
  81. Coverage probability of prediction intervals for discrete random variables
  82. Exact average coverage probabilities and confidence coefficients of confidence intervals for discrete distributions
  83. Exact confidence coefficients of simultaneous confidence intervals for multinomial proportions
  84. Ranking responses in multiple-choice questions
  85. ϵ-Admissible Estimators for Normal and Poisson Means
  86. Estimation of the Probability of Passing the USP Dissolution Test
  87. Modified p-values for one-sided testing in restricted parameter spaces
  88. Modified p-Value of Two-Sided Test for Normal Distribution with Restricted Parameter Space
  89. Improved confidence estimators for confidence sets of location parameters
  90. Improved estimation of accuracy in simple hypothesis versus simple alternative testing
  91. Improved confidence estimators for the usual one-sided confidence intervals for the ratio of two normal variances
  92. Admissibility of Confidence Estimators in the Regression Model
  93. The problem of low counts in a signal plus noise model
  94. Brown's paradox in the estimated confidence approach
  95. Estimated confidence under ancillary statistic everywhere-valid constraint
  96. Admissibility of the constant-coverage probability estimator for estimating the coverage function of certain confidence interval