membrane
发表于 2025-3-30 08:31:05
https://doi.org/10.1007/978-3-642-94222-8odeling and analysis of network security situation prediction based on covariance likelihood neural is presented. With the introduction of the error covariance likelihood function, and considering the impact of sample noise, the network security situation prediction model using the situation sequenc
争吵加
发表于 2025-3-30 13:30:21
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exclusice
发表于 2025-3-30 18:01:13
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令人悲伤
发表于 2025-3-30 21:08:20
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MONY
发表于 2025-3-31 02:32:19
Oeffentlicher Fluß. Flößbarkeit predict the outcome of longer experiments represents a key step. We use the MetastaSim model to predict the long-term effects of the Triplex vaccine against metastases. To this end we simulate follow-ups of two and three of three months (equivalent approximately to 5.83 and 8.75 years in humans) to
MEET
发表于 2025-3-31 06:04:33
,Tödtung frei umherlaufender Jagdhunde,omoter regions. We also develop a computational program named ProKey that is able to accurately predict TSSs in long DNA sequences. Performance evaluation results on the whole human genome show that ProKey could achieve 71.2% sensitivity and 76.3% specificity at the resolution level of 2000bp. Furth
Accrue
发表于 2025-3-31 10:04:51
https://doi.org/10.1007/978-3-642-94228-0tions is still in its infancy. Based on a biological concept of gene association module (GAM) comprising a center gene and its expression-related genes, this paper proposes a gene association detection model called kernel GAM (kGAM). In the model, we assume that the expression of the center gene can
ostrish
发表于 2025-3-31 17:22:12
https://doi.org/10.1007/978-3-642-94228-0ent itemsets mining. The classical Apriori algorithm is an efficient one for that. Aimed at the performance bottlenecks of multiply scanning the database and generating a large quantity of candidate itemsets in Apriori algorithm, an improved algorithm of mining association rules is presented for the
积极词汇
发表于 2025-3-31 17:58:12
https://doi.org/10.1007/978-3-642-94228-0al method, typically without biological/ experimental validations. In this paper, we propose a new computational method, MiRaGE, to detect gene expression regulation via miRNAs by the use of expression profile data and miRNA target prediction. This method is tested to miRNA transfection experiments
amygdala
发表于 2025-4-1 01:27:10
Bio-Inspired Computing and Applications978-3-642-24553-4Series ISSN 0302-9743 Series E-ISSN 1611-3349