Performance of different machine-learning (ML) classifiers and data set training
To develop an optimal ML model for differentiating anti-FtsZ compounds from non-inhibitory compounds, we built classification model using ML techniques. The…
To develop an optimal ML model for differentiating anti-FtsZ compounds from non-inhibitory compounds, we built classification model using ML techniques. The…
Although the causes of nasal polyposis are multifactorial, inflammation is one of the most important factors in the development of NP. The presence of inflammatory cells such as eosinophils, neutrophils, lymphocytes, and macrophages indicates the…
We now encourage the reader to review the first two sections of “Methods”, which outline key (mathematical and biochemical) concepts, in order to facilitate a more comprehensive understanding of the research findings presented below.
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All corneal tissues in this study were handled in accordance with the Declaration of Helsinki ethical guidelines. The RNA sequencing analyses were approved by the Ethical Review Committee at Friedrich-Alexander Universität…
Searching for initiation factors driving WNT activation-based CRC, the oncogenic protein URI emerged as a compelling target that could have an impact in CRC…
This section provides a comprehensive analysis of ConFER’s contributions to understanding fear extinction and relapse, while situating the model within broader theoretical and clinical contexts. We begin by examining how ConFER integrates with…
Considering the limited studies involving indigenous populations, the high global incidence of colorectal cancer (CRC), and the need to assess the susceptibility of the studied population to hereditary forms of the disease, our research…