All Stories

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