AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PEAgent provides a foundational resource for decoding cell-type-specific plant cis-regulatory logic and interpreting noncoding variation in plants, and distinguishes grass-conserved from lineage-specific regulatory sequences better than sequence conservation scores alone.
Here, BINN is extended for genomic prediction and selection in crops by integrating thousands of single‐nucleotide polymorphisms with multi‐omics measurements and prior biological knowledge and substantially reduces prediction error relative to conventional neural nets and correctly identifies the most important nonlin...
ContextAware Significance of Cross-gene Attribution for Discovering Elements (CASCADE) is introduced, a positionspecific statistical framework for identifying model-derived candidate regulatory elements from in silico saturation mutagenesis and shifts motif recovery from downstream of the transcription start site towar...
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