This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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Innovation is key in the steadily growing computer engineering field. Our graduates are prepared for R&D, and fields, ranging from movie special effects to nanotechnology. Contribute to the 21st ...
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Abstract: With the increasing demand for high-precision navigation applications, the traditional real-time kinematic (RTK) algorithm faces the problems of low ...
Abstract: The near-capacity performance and effective decoding algorithms of Low-Density Parity-Check (LDPC) codes have made them a mainstay of contemporary error ...
Large-scale genomic feature interactions are computationally heavy — especially when scanning millions of SNPs for higher-order interactions. The FIGHI framework implements an adaptive batching ...