All Stories

  1. Simplifications and approximations in a single-gene circuit modeling
  2. Transcriptomic landscape of the interaction between the entomopathogenic fungus Beauveria bassiana and its tolerant host Tribolium castaneum revealed by dual RNA-seq
  3. Dicodon-based measures for modeling gene expression
  4. Analysis of the Interactome of the Toxoplasma gondii Tgj1 HSP40 Chaperone
  5. Cell annotation using scRNA-seq data: A protein-protein interaction network approach
  6. Pattern formation in biology
  7. COVID-19 Mortality and the Cytokine Storm: An Added Value for APOE Genotyping
  8. Transient Turing patterns in a morphogenetic model
  9. Single cell gene expression profiling of nasal ciliated cells reveals distinctive biological processes related to epigenetic mechanisms in patients with severe COVID-19
  10. In-depth comparative analysis of Tritrichomonas foetus transcriptomics reveals novel genes linked with adaptation to feline host
  11. ORIGINS: A protein network-based approach to quantify cell pluripotency from scRNA-seq data
  12. Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
  13. The covid19 pathogenesis in a nutshell.
  14. Synonymous variants in holoprosencephaly alter codon usage and impact the Sonic Hedgehog protein
  15. Alternating regimes of motion in a model with cell-cell interactions
  16. Prediction of cell position using single-cell transcriptomic data: an iterative procedure
  17. A new analogue of islet neogenesis associated protein with higher structural and plasma stability
  18. Mesorhizobium intechi sp. nov. isolated from nodules of Lotus tenuis in soils of the Flooding Pampa, Argentina
  19. Prediction of cell position using single-cell transcriptomic data: an iterative procedure
  20. Editorial: Emergent Effects of Noise in Biology: From Gene Expression to Cell Motility
  21. By means of a system biology approach we predicted new pathogenic factor in T. gondii
  22. Some interesting results from in-silico cells with active movement
  23. Phylogenomics of tomato chloroplasts using assembly and alignment-free method
  24. Information propagation in a noisy gene cascade
  25. Hhuman genetic diseases linked to synonymous single nucleotide polymorphisms
  26. Differential bicodon usage in lowly and highly abundant proteins
  27. Modeling the flux of metabolites in the juvenile hormone biosynthesis pathway using generalized additive models and ordinary differential equations
  28. Commentary: Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
  29. Translational rate is modulated by pairs of consecutive codons.
  30. Allatostatin-C antagonizes the synergistic myostimulatory effect of allatotropin and serotonin in Rhodnius prolixus (Stal)
  31. Promoters Architecture-Based Mechanism for Noise-Induced Oscillations in a Single-Gene Circuit
  32. Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
  33. Mesoscopic oscillations in a single-gene circuit without delay
  34. Cooperative binding: a multiple personality
  35. Systems Biology Approach to Model the Life Cycle ofTrypanosoma cruzi
  36. Genomic and functional characterization of a methoprene-tolerant gene in the kissing-bug Rhodnius prolixus
  37. Allatotropin Modulates Myostimulatory and Cardioacceleratory Activities in Rhodnius prolixus (Stal).
  38. Diambra
  39. Abortive and Propagating Intracellular Calcium Waves: Analysis from a Hybrid Model
  40. Genetically Encoded Sender–Receiver System in 3D Mammalian Cell Culture
  41. An Insight into the Transcriptome of the Digestive Tract of the Bloodsucking Bug, Rhodnius prolixus
  42. Noise Minimisation in Gene Expression Switches
  43. Allatotropin: An Ancestral Myotropic Neuropeptide Involved in Feeding
  44. First Comparative Transcriptomic Analysis of Wild Adult Male and Female Lutzomyia longipalpis, Vector of Visceral Leishmaniasis
  45. Cooperative Binding of Transcription Factors Promotes Bimodal Gene Expression Response
  46. Modeling the Emergence of Circadian Rhythms in a Clock Neuron Network
  47. Time-Course Analysis of Cyanobacterium Transcriptome: Detecting Oscillatory Genes
  48. Metagenomic Analysis of Taxa Associated with Lutzomyia longipalpis, Vector of Visceral Leishmaniasis, Using an Unbiased High-Throughput Approach
  49. Genome sequence and analysis of the tuber crop potato
  50. Coarse-grain reconstruction of genetic networks from expression levels
  51. Inositol (1,4,5)-Trisphosphate Receptor Microarchitecture Shapes Ca2+ Puff Kinetics
  52. Convergence Criterium of Numerical Chaotic Solutions Based on Statistical Measures
  53. Neuropeptide precursor gene discovery in the Chagas disease vector Rhodnius prolixus
  54. Long-term oscillations in the sleep/wake cycle of infants
  55. Localization and socialization: Experimental insights into the functional architecture of IP3 receptors
  56. Role of cooperative binding on noise expression
  57. Clustering gene expression by dynamics: A maximum entropy approach
  58. Respiratory modulation of heart beat-to-beat interval in diabetic patients
  59. Constructing the Average Natural History of HIV-1 Infection
  60. Peri-ictal complexity loss as determined by approximate entropy analysis in the electrocorticogram obtained from chronic subdural recordings in patients with refractory temporal lobe epilepsy
  61. Delay model of circadian gene expression with two negative feedback loops
  62. Cell adhesion protein decreases cell motion: Statistical characterization of locomotion activity
  63. Pattern formation in a gene network model with boundary shape dependence
  64. Cross-correlation of heartbeat and respiration rhythms
  65. Model for the respiratory modulation of the heart beat-to-beat time interval series
  66. Complex networks approach to gene expression driven phenotype imaging
  67. Modeling stochastic Ca2+ release from a cluster of IP3-sensitive receptors
  68. Topographical maps as complex networks
  69. Infradian Rhythmicity in Sleep/Wake Ratio in Developing Infants
  70. Model for the heart beat-to-beat time series during meditation
  71. Detecting Epileptic Spikes
  72. Chaos in two-loop negative feedback systems
  73. CICLOGRAMA: A TOOL FOR DETECTION OF RHYTHMICITIES IN SLEEP/WAKE CYCLES
  74. Nonlinear structures in electroencephalogram signals
  75. Information theory approach to learning of the perceptron rule
  76. Divergence measure between chaotic attractors
  77. Maximum entropy approach to nonlinear modeling
  78. Epileptic activity recognition in EEG recording
  79. The evolutive role of symbiosis and the external environment: a mathematical model
  80. Human brain dynamics: the analysis of EEG signals with Tsallis information measure
  81. Nonlinear models for detecting epileptic spikes
  82. Two approximations to learning from examples
  83. Tsallis entropy and cortical dynamics: the analysis of EEG signals
  84. Dynamics of coevolutive processes
  85. Neural networks that learn how to detect epileptic spikes
  86. Modelling time series using information theory
  87. Neural network training without spurious minima
  88. Perturbative treatments and learning techniques
  89. Maximum-entropy principle and neural networks that learn to construct approximate wave functions
  90. Self-organized criticality in coevolving interacting systems
  91. Maximum entropy, pseudoinverse techniques, and time series predictions with layered networks
  92. Pseudoinverse techniques, information theory, and the training of feedforward networks
  93. Approximate reconstruction of single particle bound states and potentials from incomplete information