AIMC Journal:
bioRxiv

Showing 1661 to 1670 of 4956 articles

Novel linkage disequilibrium-based genotype-by-environmental interaction method for genomic prediction of cotton yield and fibre quality traits

bioRxiv May 6, 2026
Genomic prediction (GP) across diverse environments has a potential to accelerate genetic gain in cotton breeding programs. A major challenge in GP is modelling genotype-by-environment interactions (GEI), which is essential for selecting stable and h...
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MolGene-E: Inverse Molecular Design to Modulate Single Cell Transcriptomics

bioRxiv May 5, 2026
Designing drugs that can restore a diseased cell to its healthy state is an emerging approach in systems pharmacology to address medical needs that conventional target-based drug discovery paradigms have failed to meet. Single-cell transcriptomics ca...
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Systematic contextual biases in SegmentNT potentially relevant to other nucleotide transformer models

bioRxiv May 5, 2026
Recent advances in large language models (LLMs) have extended to genomic applications, yet model robustness relative to context is unclear. Here, we demonstrate two intrinsic biases (input sequence length and nucleotide position) affecting SegmentNT ...
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Psychedelics Align Brain Activity with Context

bioRxiv May 5, 2026
Psychedelics can profoundly alter consciousness by reorganising brain connectivity; however, their effects are context-sensitive. To understand how this reorganisation depends on context, we collected and comprehensively analysed the largest psychede...
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Pushing the ceiling of species-level mapping in a hyperdiverse tropical forest with multi-temporal segmentation and airborne hyperspectral classification

bioRxiv May 5, 2026
Species-level maps of tropical forest canopies are needed for biodiversity monitoring, conservation planning, and carbon accounting, yet the structural complexity and species richness of these forests make remote classification challenging. Here we e...
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Functional Profiling of Thousands of Sequence-Diverse Protease Homologs with GROQ-seq

bioRxiv May 5, 2026
High-quality datasets that span broad sequence diversity are essential for understanding protein sequence-function relationships beyond local mutational landscapes. Here, we applied Growth-based Quantitative Sequencing (GROQ-seq) to measure function ...
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Clonal embeddings allow exploratory analysis of lineage-resolved single-cell data

bioRxiv May 5, 2026
Assays coupling high-throughput lineage tracing with single-cell transcriptomics are transforming studies of development and disease biology, revealing not only major differentiation routes but also continuous fate biases and their putative regulator...
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Coordinated human prefrontal dynamics sustain task-state representations during learning

bioRxiv May 5, 2026
Making decisions in complex, real-world environments is challenging. Biologically plausible strategies like reinforcement learning (RL) require attention toward reward-predictive stimuli to define task states, yet how attention and decision processes...
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Combinatorial epigenomic patterns define regulatory programs underlying disease heterogeneity

bioRxiv May 5, 2026
Disease is a heterogeneous process that involves multiple organs and cell types. Understanding how genomic variation contributes to disease requires approaches that move beyond the linear assumptions of additive models and resolve underlying disease ...
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Automated behavioral segmentation and markerless pose tracking of mice during spaceflight

bioRxiv May 5, 2026
The NASA Rodent Habitat aboard the International Space Station enabled long-duration studies of behavioral responses to spaceflight, but video-based behavioral analysis has relied on laborious manual annotation. No study has tested whether deep learn...
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