All Stories

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