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72661“…Hence, the exploration of gene regulatory network rewiring is significant to discover potential biomarkers and indicators for discriminating cancer phenotypes. RESULTS: Here, we propose a new bioinformatics method of identifying biomarkers based on network rewiring in different states. …”
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72662por Prochazkova, Magdalena, Budinska, Eva, Kuzma, Marek, Pelantova, Helena, Hradecky, Jaromir, Heczkova, Marie, Daskova, Nikola, Bratova, Miriam, Modos, Istvan, Videnska, Petra, Splichalova, Petra, Sowah, Solomon A., Kralova, Maria, Henikova, Marina, Selinger, Eliska, Klima, Krystof, Chalupsky, Karel, Sedlacek, Radislav, Landberg, Rikard, Kühn, Tilman, Gojda, Jan, Cahova, Monika“…Using a machine-learning approach, we tested the discriminative power of each dataset. Best results were obtained for serum metabolome (accuracy rate 91.6%). …”
Publicado 2022
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72663por Bauckneht, Matteo, Rebuzzi, Sara Elena, Signori, Alessio, Frantellizzi, Viviana, Murianni, Veronica, Lodi Rizzini, Elisa, Mascia, Manlio, Lavelli, Valentina, Donegani, Maria Isabella, Ponzano, Marta, Gaudiano, Angela, Stazza, Maria Lina, Licari, Maria, Cavallini, Letizia, Laghi, Viola, Cindolo, Luca, Maggi, Martina, Sciarra, Alessandro, Mammucci, Paolo, Sambuceti, Gianmario, Costa, Renato Patrizio, Spanu, Angela, Rubini, Giuseppe, Monari, Fabio, De Vincentis, Giuseppe, Fornarini, Giuseppe“…The model with the highest discriminative ability (c-index) was chosen to develop the BIO-Ra score. …”
Publicado 2021
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72664por Zhang, Qiuxia, Lu, Junyan, Lei, Li, Li, Guodong, Liang, Hongbin, Zhang, Jingyi, Li, Yun, Lu, Xiangqi, Zhang, Xinlu, Chen, Yaode, Pan, Jiazhi, Chen, Yejia, Lin, Xinxin, Li, Xiaobo, Zhou, Shiyu, An, Shengli, Xiu, Jiancheng“…Age, eGFR, hemoglobin, systolic blood pressure, and diabetes were identified as predictors for RKFD. Good discriminating performance was observed in both the development (C-index, 0.73) and the validation (C-index, 0.71) cohorts, and the AUCs for predicting 5-years RKFD was 0.763 and 0.740 in the development and the validation cohort, respectively. …”
Publicado 2022
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72665por Wu, Yaling, Wang, Zijie, Xing, Mengmeng, Li, Bingyan, Liu, Zhiyuan, Du, Peng, Yang, Huinan, Wang, Xiaolei“…We further established the classifier model in identifying disease location to discriminate colonic-type from ileal-type CD with 63.6% of accuracy with the significantly increased intensity of 1643 cm(−1) band, and the model to predict the spectra changes of before and after treatment in tumor necrosis factor inhibitor responders with 91.2% of accuracy with a panel of 11 specific spectra. …”
Publicado 2022
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72666“…By presenting unexpected food rewards to cuttlefish before the test, we investigated whether the reaction time of choosing between two shrimps, an intuitive response toward the prey without previous learning, at three different levels of discriminative tests (easy, difficult, and ambiguous), are different compared to the one without an unexpected reward. …”
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72667por Ley, Benedikt, Winasti Satyagraha, Ari, Kibria, Mohammad Golam, Armstrong, Jillian, Bancone, Germana, Bei, Amy K., Bizilj, Greg, Brito, Marcelo, Ding, Xavier C., Domingo, Gonzalo J., von Fricken, Michael E., Gornsawun, Gornpan, Lam, Brandon, Menard, Didier, Monteiro, Wuelton, Ongarello, Stefano, Pal, Sampa, Panggalo, Lydia Visita, Parikh, Sunil, Pfeffer, Daniel A., Price, Ric N., da Silva Orfano, Alessandra, Wade, Martina, Wojnarski, Mariusz, Worachet, Kuntawunginn, Yar, Aqsa, Alam, Mohammad Shafiul, Howes, Rosalind E.“…CONCLUSIONS: Repeatability and inter-laboratory reproducibility of the Biosensor were good; though the device did not reliably discriminate between intermediate and low G6PD activities of the lyophilized specimens. …”
Publicado 2022
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72668“…BACKGROUND: Persons with disabilities comprise more than one billion people in the world, yet they are one of the most discriminated groups and face significant health disparities. …”
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72669por Biener, Moritz, Giannitsis, Evangelos, Hogrefe, Katharina, Mueller-Hennessen, Matthias, Fröhlich, Hanna, Katus, Hugo A., Frey, Norbert, Frankenstein, Lutz, Täger, Tobias“…RESULTS: Change in hs-cTnT values exceeding the biovariability defined by MID but not by RCV discriminated a group with a higher cardiovascular risk profile. …”
Publicado 2021
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72670por Abdullah, Bahiyah, Daud, Suzanna, Aazmi, Mohd Shafiq, Idorus, Mohd Yusri, Mahamooth, Mas Irfan Jaya“…Partial Least Squares Discriminant Analysis (PLS-DA) shows a clustering of gut microbiota according to GDM status and BMI, but not by trimester. …”
Publicado 2022
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72671por Palao-Ocharan, Paola, Prior, Nieves, Pérez-Fernández, Elia, Caminoa, Magdalena, Caballero, Teresa“…Construct validity was good: seven out of the 8 hypotheses defined on clinical criteria were confirmed, discriminant validity assessment showed significant differences among patients with different C1-INH-HAE severity, convergent validity showed a good correlation among the physical and mental component summaries of the SF-36v2 and the HAE-QoL total score (0.45 and 0.64 respectively, P < 0.001). …”
Publicado 2022
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72672por Nawka, Marie Teresa, Broocks, Gabriel, McDonough, Rosalie, Fiehler, Jens, Bester, Maxim“…Receiver operating characteristic (ROC) curve analyses displayed higher discriminative power for the D‑ANDi (AUC = 0.77, 95% CI 0.66–0.86, cut-off ≤2.9 mm) compared to the difference in WEB size to the average aneurysm diameter (D-AADi, AUC = 0.65, 95% CI 0.53–0.75, cut-off ≤1.0 mm). …”
Publicado 2021
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72673por Furlan, Natalia Eduarda, Luvizutto, Gustavo José, Hamamoto Filho, Pedro Tadao, Zanati Bazan, Silmeia Garcia, Modolo, Gabriel Pinheiro, Ferreira, Natalia Cristina, Miranda, Luana Aparecida, de Souza, Juli Thomaz, Winckler, Fernanda Cristina, Vidal, Edison Iglesias de Oliveira, de Freitas, Carlos Clayton Macedo, Martin, Luis Cuadrado, Bazan, Rodrigo“…Furthermore, receiver operating characteristic (ROC) curves were generated to identify the cutoff point of the NIHSS score that could best discriminate the mRS score in all types of treatments. …”
Publicado 2022
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72674por Alegret, Montserrat, Sotolongo-Grau, Oscar, de Antonio, Ester Esteban, Pérez-Cordón, Alba, Orellana, Adelina, Espinosa, Ana, Gil, Silvia, Jiménez, Daniel, Ortega, Gemma, Sanabria, Angela, Roberto, Natalia, Hernández, Isabel, Rosende-Roca, Maitee, Tartari, Juan Pablo, Alarcon-Martin, Emilio, de Rojas, Itziar, Montrreal, Laura, Morató, Xavier, Cano, Amanda, Rentz, Dorene M., Tárraga, Lluís, Ruiz, Agustín, Valero, Sergi, Marquié, Marta, Boada, Mercè“…Moreover, it is suitable for discriminating between cognitively healthy and amnestic mild cognitive impairment (MCI) individuals, and it is associated with Alzheimer’s disease (AD) cerebrospinal fluid (CSF) biomarkers. …”
Publicado 2022
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72675por Zhang, Xiao-Guang, Wang, Jia-Hui, Yang, Wen-Hao, Zhu, Xiao-Qiong, Xue, Jie, Li, Zhi-Zhang, Kong, Yu-Ming, Hu, Liang, Jiang, Shan-Shan, Xu, Xu-Shen, Yue, Yun-Hua“…We used the area under the receiver-operating characteristic curve to evaluate the discriminative performance and used the calibration curve and Spiegelhalter’s Z-test to assess the calibration performance of the risk prediction model. …”
Publicado 2022
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72676por Kjønø, Lise Grethe, Killingmo, Rikke Munk, Vigdal, Ørjan Nesse, Grotle, Margreth, Storheim, Kjersti“…Hypothesis testing was assessed by 14 a priori hypotheses (“known” group, convergent and discriminant validity). Internal consistency was evaluated using Cronbach’s alpha and test-retest reliability by Intraclass Correlation Coefficient (ICC(2.1)), Standard Error of Measurement (SEM(agreement)) and Smallest Detectable Change (SDC(95%)ind). …”
Publicado 2022
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72677por Maruyama, Sandra Regina, Fuzo, Carlos Alessandro, Oliveira, Antonio Edson R., Rogerio, Luana Aparecida, Takamiya, Nayore Tamie, Pessenda, Gabriela, de Melo, Enaldo Vieira, da Silva, Angela Maria, Jesus, Amélia Ribeiro, Carregaro, Vanessa, Nakaya, Helder I., Almeida, Roque Pacheco, da Silva, João Santana“…Cellular deconvolution of gene expression profiles was able to discriminate cellular subtypes, highlighting the contribution of plasma cells and NK cells in the course of the disease. …”
Publicado 2022
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72678“…A 10-gene classifier was constructed which could discriminate platinum-sensitive samples precisely with an AUC of 0.971 in the training set and of 0.926 in the GEO dataset (GSE638855). …”
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72679por Oyelade, Olaide N., Ezugwu, Absalom E., Almutairi, Mubarak S., Saha, Apu Kumar, Abualigah, Laith, Chiroma, Haruna“…Our approach involves the design of a GAN model consisting of both a generator and a discriminator to learn a hierarchy of representations for abnormalities in digital mammograms. …”
Publicado 2022
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72680“…Area under receiver operating curve (AUROC) analysis of amyloid accompanying proteins (AAPs, including apolipoprotein A-IV, apolipoprotein E and serum amyloid P-component) for discriminating amyloidosis from non-amyloid nephropathies was performed. …”
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