GAN


gigaxonin


Gene Context Sentence


Table 2. Analysis of context sentence of GAN gene in 13 abstracts.

PMID Gene Context Sentence
32271454 Employing combined therapy of modern medicine and traditional Chinese medicine has been proposed, in which Ma Xing Shi Gan Decoction (MXSGD) was recommended as a basic prescription and applied widely in the clinical treatment of COVID-19.
32360484 The target network model of QFPD, established by predicting and collecting the targets of identified compounds, indicated a pivotal role of Ma Xing Shi Gan Decoction (MXSG) in the therapeutic efficacy of QFPD.
32496988 Our model achieves 87% accuracy in terms of Gan based synthetic data and four different types of deep learning- based models which provided state of the art comparable results.
32624700 It is highly transmissible disease that can affect respiratory tract and can leads to organ failure. […] In 2020 it is declared by world health organization as “Public health emergency of international concerns”. […] This work provides a significant contribution in terms of Gan based synthetic data and four different types of deep learning- based models which provided state of the art comparable results. […] Our model achieves 89% accuracy in terms of Gan based synthetic data and four different types of deep learning- based models which provided state of the art comparable results.
32691000 The result of our network analysis showed that the herb Citri Reticulatae Pericarpium (Chen Pi) strongly paired with the herb Glycyrrhizae Radix et Rhizoma (Gan Cao).
32726006 The main drugs for the prevention of COVID-19 were Liang(13 times, 38.23%), Wen(9 times, 26.47%), the flavor was Ku(20 times, 34.48%), Xin(13 times, 22.41%), Gan(11 times, 18.97%), the most used drugs treating hot evil(99 times, 32.46%), treatment of “Heyi” drugs(51 times, 16.72%), treatment of “Badagan” drugs(40 times, 13.11%), treatment of “sticky” drugs(37 times, 12.13%), and a cough, eliminating phlegm and antiasthmatic(31 times, 10.16%), the association rule analysis found that the highest association intensity of the drug pair combination of 11.
32871294 Before the training classifier, we constructed a cycle consistency generative adversarial network (CycleGAN) to augment the training dataset. […] The CycleGAN-based synthetic images reflected the pragmatic characteristic features of pharyngitis. […] ResNet50 with GAN-based augmentation showed the best ROC-AUC of 0.988 for pharyngitis detection in the test dataset.
33013395 Therefore, this paper summarizes the physiopathological mechanisms of fever, cough, fatigue and diarrhea, and introduces Chinese herbal medicines (Ephedrae Herba, Gypsum Fibrosum, Glycyrrhizae Radix et Rhizoma, Asteris Radix et Rhizoma, Ginseng Radix et Rhizoma, Codonopsis Radix, Atractylodis Rhizoma, etc.) and Chinese patent medicines (Shuang-huang-lian, Ma-xing-gan-shi-tang, etc.) with their corresponding therapeutic effects.
33078094 The Generative Adversarial Network (GAN) is the contemporary high-performance approach in which the use of advanced neural networks is done for the cavernous analytics of the images and multimedia data. […] The GANs are used for the generation, transformation as well as presentation of the dataset and key points using advanced deep learning models which can analyze the patterns in the medical images including X-Ray, CT Scan, and many others. […] Using such approaches with the integration of GANs, the overall predictive analytics can be made high performance aware as compared to the classical neural networks with multiple layers.
33324213 In this study, we revealed the efficacy and pharmacological mechanism of Ma Xing Shi Gan (MXSG) Decoction against COVID-19.
33387306 Therefore, data augmentation technique using generative adversarial network (GAN) was employed to further increase the training samples and reduce the overfitting problem. […] We used the online available dataset and incorporated GAN to have 500 X-ray images in total for this study.
33437132 Furthermore, we evaluate multiple state-of-the-art GAN architectures and their ability to generate realistic synthetic samples of COVID-19 chest X-rays to deal with limited numbers of training samples.
33520007 To address this issue, a generative adversarial network (GAN) is proposed in this work to generate more CT images. […] The Whale Optimization Algorithm (WOA) is used to optimize the hyperparameters of GAN’s generator.