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Deep Learning in LncRNAome: Contribution, Challenges, and Perspectives
منشور في 2020"…<p dir="ltr">Long non-coding RNAs (lncRNA), the pervasively transcribed part of the mammalian genome, have played a significant role in changing our protein-centric view of genomes. …"
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Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review
منشور في 2022"…<h3>Background</h3><p dir="ltr">Research on the diagnosis of COVID-19 using lung images is limited by the scarcity of imaging data. Generative adversarial networks (GANs) are popular for synthesis and data augmentation. …"
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Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer
منشور في 2021"…Additionally, potential interaction between differentially expressed lncRNAs such as H19, SNHG5, and GATA2-AS1 with multiple miRNAs has been revealed. Taken together, our data provides thorough analysis of dysregulated protein-coding and non-coding RNAs in CRC highlighting numerous associations and regulatory networks thus providing better understanding of CRC.…"
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Practical Multiple Node Failure Recovery in Distributed Storage Systems
منشور في 2016"…The fractional repetition (FR) code is a class of regenerating codes that consists of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …"
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Anomalies Detection in Software by Conceptual Learning From Normal Executions
منشور في 2020"…In this paper we create a featured data set from program traces at run time, either during its regular life, or during its testing phase. …"
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OutSingle: a novel method of detecting and injecting outliers in RNA-Seq count data using the optimal hard threshold for singular values
منشور في 2023"…Recently developed models for this task rely on modeling RNA-Seq GE data using the negative binomial distribution (NBD). …"
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…Every communication body wants to secure their data while communicating over the Internet. The internet has various benefits but the main demerit is the privacy and security and the transmission of data over insecure network or channel may happen. …"
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A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data
منشور في 2021"…The model is general and can be applied to other similar count data. The code for our model is available at <a href="https://github.com/esalkovic/outpyrx" rel="nofollow">https://github.com/esalkovic/outpyrx</a>.…"
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Keyed Watermarks: A Fine-grained Tracking of Event-time in Apache Flink
منشور في 2023"…Big Data Stream processing engines such as Apache Flink use windowing techniques to handle unbounded streams of events. …"
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93
NFTs for the Unassailable Authentication of IoT Devices in Cyber-Physical Systems: An Implementation Study
منشور في 2025"…Despite resource constraints, including limited computational capabilities, essential libraries that manage tasks such as WiFi module control, interaction with Ethereum-based blockchains, TCP connection management, and EEPROM operations for persistent data storage. The code is structured with functions for Wi-Fi setup, TCP API requests, and secure communication challenges. …"
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Systematic Literature Review on Security Risks and its Practices in Secure Software Development
منشور في 2022"…Software security refers to the process of creating and developing software that assures the integrity, confidentiality, and availability of its code, data, and services. Software development organizations treat security as an afterthought issue, and as a result, they continue to face security threats. …"
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Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation
منشور في 2024"…Yet, modeling the non-stationarity in EHR data has received less attention. Most existing studies follow a strong assumption of stationarity in patient representation from EHRs. …"
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