Search alternatives:
practice optimization » practice utilization (Expand Search), reaction optimization (Expand Search), production optimization (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
practice optimization » practice utilization (Expand Search), reaction optimization (Expand Search), production optimization (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
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Raw Data for the Thesis: "<i>Enhancing RNAi-Based Pest Control through Effective Target Gene Selection and Optimal dsRNA Design</i>"
Published 2025“…The results revealed moderate transferability (~50%) of highly effective targets from <i>T. castaneum</i>, which increased to approximately 80% when considering genes already validated in other leaf beetles. These findings are both conceptually important, in demonstrating partial but significant cross-species transferability of RNAi targets, and practically valuable for guiding the development of RNAi-based solutions against this important pest.…”
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
Published 2019“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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An inflammation-associated ferroptosis signature can optimize the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma
Published 2023“…</p> <p>Methods: The train cohort from The Cancer Genome Atlas (TCGA) was clustered into three subtypes (C1, C2, and C3) based on the genes related to inflammation and ferroptosis. …”
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<i>In silico</i> prediction of blood cholesterol levels from genotype data
Published 2020“…<div><p>In this work we present a framework for blood cholesterol levels prediction from genotype data. The predictor is based on an algorithm for cholesterol metabolism simulation available in literature, implemented and optimized by our group in the R language. …”
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