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Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition
Dynamic mode (DM) decomposition decomposes spatiotemporal signals into basic oscillatory components (DMs). DMs can improve the accuracy of neural...
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Structural insights into the decoding capability of isoleucine tRNAs with lysidine and agmatidine
The anticodon modifications of transfer RNAs (tRNAs) finetune the codon recognition on the ribosome for accurate translation. Bacteria and archaea...
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Decoding six basic emotions from brain functional connectivity patterns
Although distinctive neural and physiological states are suggested to underlie the six basic emotions, basic emotions are often indistinguishable...
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Decoding the microbiome for sustainable agriculture
Root-associated microbiota profoundly affect crop health and productivity. Plants can selectively recruit beneficial microbes from the soil and...
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Decoding the spatiotemporal regulation of transcription factors during human spinal cord development
The spinal cord is a crucial component of the central nervous system that facilitates sensory processing and motor performance. Despite its...
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Transcriptional and epigenetic decoding of the microglial aging process
As important immune cells, microglia undergo a series of alterations during aging that increase the susceptibility to brain dysfunctions. However,...
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Deep Sc-RNA sequencing decoding the molecular dynamic architecture of the human retina
The human retina serves as a light detector and signals transmission tissue. Advanced insights into retinal disease mechanisms and therapeutic...
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Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time
BackgroundWith the precision of the mass spectrometry (MS) going higher, the MS file size increases rapidly. Beyond the widely-used open format mzML,...
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Neural Network-Based Decoding Input Stimulus Data Based on Recurrent Neural Network Neural Activity Pattern
AbstractThe paper reports the assessment of the possibility to recover information obtained using an artificial neural network via inspecting neural...
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Pheniqs 2.0: accurate, high-performance Bayesian decoding and confidence estimation for combinatorial barcode indexing
BackgroundSystems biology increasingly relies on deep sequencing with combinatorial index tags to associate biological sequences with their sample,...
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Decoding the complete organelle genomic architecture of Stewartia gemmata: an early-diverging species in Theaceae
BackgroundTheaceae, comprising 300 + species, holds significance in biodiversity, economics, and culture, notably including the globally consumed tea...
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Decoding the dance parameters of eastern honeybee, Apis cerana
Bees dance to deliver food vectors that contain information regarding distance gauging and spatial orientation. The eastern honey bee, Apis cerana ,...
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Methylome decoding of RdDM-mediated reprogramming effects in the Arabidopsis MSH1 system
BackgroundPlants undergo programmed chromatin changes in response to environment, influencing heritable phenotypic plasticity. The RNA-directed DNA...
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Decoding the biochemical dialogue: metabolomic insights into soybean defense strategies against diverse pathogens
Soybean, a crucial global leguminous crop, confronts persistent threats from diverse pathogens, exerting a profound impact on global yields. While...
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Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
Current state-of-the-art functional magnetic resonance imaging (fMRI) offers remarkable imaging quality and resolution, yet, the intrinsic...
