All Stories

  1. Proteomic resolution of the MASLD cardiometabolic spectrum identifies sex-driven endotypes and predicts systemic mortality
  2. Host transcriptional and microbiome metatranscriptomic changes in soybean plants carrying the insect-pathogenic fungus Beauveria bassiana as an endophyte
  3. Functional network activation during a subtraction task
  4. Food-sensitized children with juvenile colorectal polyps exhibit a distinct mucosal and fecal microbial signature associated with inflammation
  5. Sex-specific cardiometabolic phenotypes in MASLD: 3PM-centric stratification and trajectory mapping for proactive risk assessment
  6. A principal component entropy metric for assessing global synchronicity in EEG signals
  7. Network-based community analysis of microbial composition: Insights into dysbiosis and assembly
  8. Organ damage proteomic signature identifies patients with MASLD at-risk of systemic complications
  9. Unraveling Tumor Heterogeneity: Quantitative Insights from Single-cell RNA Sequencing Analysis in Breast Cancer Subtypes
  10. Exploring multigene families of odorant binding proteins and cytochrome P450 monooxygenases in the stink bug pest complex through comparative transcriptomics
  11. EEG mutual information during a serial subtraction task
  12. Simplifications and approximations in a single-gene circuit modeling
  13. Transcriptomic landscape of the interaction between the entomopathogenic fungus Beauveria bassiana and its tolerant host Tribolium castaneum revealed by dual RNA-seq
  14. Dicodon-based measures for modeling gene expression
  15. Analysis of the Interactome of the Toxoplasma gondii Tgj1 HSP40 Chaperone
  16. Distal nucleotides affect the rate of stop codon read‐through
  17. Editorial: Pattern formation in biology
  18. Cell annotation using scRNA-seq data: A protein-protein interaction network approach
  19. Pattern formation in biology
  20. COVID-19 Mortality and the Cytokine Storm: An Added Value for APOE Genotyping
  21. Transient Turing patterns in a morphogenetic model
  22. Single cell gene expression profiling of nasal ciliated cells reveals distinctive biological processes related to epigenetic mechanisms in patients with severe COVID-19
  23. In-depth comparative analysis of Tritrichomonas foetus transcriptomics reveals novel genes linked with adaptation to feline host
  24. ORIGINS: A protein network-based approach to quantify cell pluripotency from scRNA-seq data
  25. Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
  26. The covid19 pathogenesis in a nutshell.
  27. Synonymous variants in holoprosencephaly alter codon usage and impact the Sonic Hedgehog protein
  28. Alternating regimes of motion in a model with cell-cell interactions
  29. Prediction of cell position using single-cell transcriptomic data: an iterative procedure
  30. A new analogue of islet neogenesis associated protein with higher structural and plasma stability
  31. Mesorhizobium intechi sp. nov. isolated from nodules of Lotus tenuis in soils of the Flooding Pampa, Argentina
  32. Prediction of cell position using single-cell transcriptomic data: an iterative procedure
  33. Editorial: Emergent Effects of Noise in Biology: From Gene Expression to Cell Motility
  34. By means of a system biology approach we predicted new pathogenic factor in T. gondii
  35. Some interesting results from in-silico cells with active movement
  36. Phylogenomics of tomato chloroplasts using assembly and alignment-free method
  37. Information propagation in a noisy gene cascade
  38. Hhuman genetic diseases linked to synonymous single nucleotide polymorphisms
  39. Differential bicodon usage in lowly and highly abundant proteins
  40. Modeling the flux of metabolites in the juvenile hormone biosynthesis pathway using generalized additive models and ordinary differential equations
  41. Commentary: Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
  42. Translational rate is modulated by pairs of consecutive codons.
  43. Allatostatin-C antagonizes the synergistic myostimulatory effect of allatotropin and serotonin in Rhodnius prolixus (Stal)
  44. Promoters Architecture-Based Mechanism for Noise-Induced Oscillations in a Single-Gene Circuit
  45. Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
  46. Mesoscopic oscillations in a single-gene circuit without delay
  47. Cooperative binding: a multiple personality
  48. Systems Biology Approach to Model the Life Cycle ofTrypanosoma cruzi
  49. Genomic and functional characterization of a methoprene-tolerant gene in the kissing-bug Rhodnius prolixus
  50. Allatotropin Modulates Myostimulatory and Cardioacceleratory Activities in Rhodnius prolixus (Stal).
  51. Diambra
  52. Abortive and Propagating Intracellular Calcium Waves: Analysis from a Hybrid Model
  53. Genetically Encoded Sender–Receiver System in 3D Mammalian Cell Culture
  54. An Insight into the Transcriptome of the Digestive Tract of the Bloodsucking Bug, Rhodnius prolixus
  55. Noise Minimisation in Gene Expression Switches
  56. Allatotropin: An Ancestral Myotropic Neuropeptide Involved in Feeding
  57. First Comparative Transcriptomic Analysis of Wild Adult Male and Female Lutzomyia longipalpis, Vector of Visceral Leishmaniasis
  58. Cooperative Binding of Transcription Factors Promotes Bimodal Gene Expression Response
  59. Modeling the Emergence of Circadian Rhythms in a Clock Neuron Network
  60. Time-Course Analysis of Cyanobacterium Transcriptome: Detecting Oscillatory Genes
  61. Metagenomic Analysis of Taxa Associated with Lutzomyia longipalpis, Vector of Visceral Leishmaniasis, Using an Unbiased High-Throughput Approach
  62. Genome sequence and analysis of the tuber crop potato
  63. Coarse-grain reconstruction of genetic networks from expression levels
  64. Inositol (1,4,5)-Trisphosphate Receptor Microarchitecture Shapes Ca2+ Puff Kinetics
  65. Convergence Criterium of Numerical Chaotic Solutions Based on Statistical Measures
  66. Neuropeptide precursor gene discovery in the Chagas disease vector Rhodnius prolixus
  67. Long-term oscillations in the sleep/wake cycle of infants
  68. Localization and socialization: Experimental insights into the functional architecture of IP3 receptors
  69. Role of cooperative binding on noise expression
  70. Clustering gene expression by dynamics: A maximum entropy approach
  71. Respiratory modulation of heart beat-to-beat interval in diabetic patients
  72. Constructing the Average Natural History of HIV-1 Infection
  73. 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
  74. Delay model of circadian gene expression with two negative feedback loops
  75. Cell adhesion protein decreases cell motion: Statistical characterization of locomotion activity
  76. Pattern formation in a gene network model with boundary shape dependence
  77. Cross-correlation of heartbeat and respiration rhythms
  78. Model for the respiratory modulation of the heart beat-to-beat time interval series
  79. Complex networks approach to gene expression driven phenotype imaging
  80. Modeling stochastic Ca2+ release from a cluster of IP3-sensitive receptors
  81. Topographical maps as complex networks
  82. Infradian Rhythmicity in Sleep/Wake Ratio in Developing Infants
  83. Model for the heart beat-to-beat time series during meditation
  84. Detecting Epileptic Spikes
  85. Chaos in two-loop negative feedback systems
  86. CICLOGRAMA: A TOOL FOR DETECTION OF RHYTHMICITIES IN SLEEP/WAKE CYCLES
  87. Nonlinear structures in electroencephalogram signals
  88. Information theory approach to learning of the perceptron rule
  89. Divergence measure between chaotic attractors
  90. Maximum entropy approach to nonlinear modeling
  91. Epileptic activity recognition in EEG recording
  92. The evolutive role of symbiosis and the external environment: a mathematical model
  93. Human brain dynamics: the analysis of EEG signals with Tsallis information measure
  94. Nonlinear models for detecting epileptic spikes
  95. Two approximations to learning from examples
  96. Tsallis entropy and cortical dynamics: the analysis of EEG signals
  97. Dynamics of coevolutive processes
  98. Neural networks that learn how to detect epileptic spikes
  99. Modelling time series using information theory
  100. Neural network training without spurious minima
  101. Perturbative treatments and learning techniques
  102. Maximum-entropy principle and neural networks that learn to construct approximate wave functions
  103. Self-organized criticality in coevolving interacting systems
  104. Maximum entropy, pseudoinverse techniques, and time series predictions with layered networks
  105. Pseudoinverse techniques, information theory, and the training of feedforward networks
  106. Approximate reconstruction of single particle bound states and potentials from incomplete information