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74541por Burnham, Christina M., McKenney, Erin A., van Heugten, Kimberly Ange-, Minter, Larry J., Trivedi, Shweta“…Total operational taxonomic units (OTUs), alpha diversity (species richness, Shannon diversity), and beta diversity (Bray-Curtis dissimilarity, linear discriminant analysis effect size) indices were examined, and differentially enriched taxa were identified. …”
Publicado 2023
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74542por Duran-Bobin, O, Hernandez, J, Morinigo, J L, Sanchez Garcia, M, Portales-Fernandez, J, Gonzalez-Juanatey, C, Cruz, A, Oterino, A, Bravo, L, Sanchez, P L, Jimenez-Candil, J“…CONCLUSIONS: The analysis of VA interval variability after induction and at one minute later correctly discriminates atypical AVNRT from ORT in almost all cases. …”
Publicado 2023
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74543por Tasci, Erdal, Jagasia, Sarisha, Zhuge, Ying, Sproull, Mary, Cooley Zgela, Theresa, Mackey, Megan, Camphausen, Kevin, Krauze, Andra Valentina“…In this study, using 7k proteomic data generated from the analysis of serum obtained from 82 patients with GBM pre- and post-completion of concurrent chemoirradiation (CRT), we aimed to select the most discriminative proteomic features that define proteomic alteration that is the result of administering CRT. …”
Publicado 2023
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74544por Gu, Peng, Pu, Bin, Xin, Qiao, Yue, Dan, Luo, LieLiang, Tao, JiaSheng, Li, HaiShan, Chen, Ming, Hu, MingHua, Hu, XiaoRong, Zheng, XiaoHui, Zeng, ZhanPeng“…The ROC suggested helpful discriminative power of the METS-IR index for T2DM. We confirmed that METS-IR, as a novel alternative marker of IR, had a positive association with BMD in postmenopausal patients with T2DM, and METS-IR was a protective factor for OP in a specific range.…”
Publicado 2023
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74545por Ghiringhelli, François, Bibeau, Frederic, Greillier, Laurent, Fumet, Jean-David, Ilie, Alis, Monville, Florence, Laugé, Caroline, Catteau, Aurélie, Boquet, Isabelle, Majdi, Amine, Morgand, Erwan, Oulkhouir, Youssef, Brandone, Nicolas, Adam, Julien, Sbarrato, Thomas, Kassambara, Alboukadel, Fieschi, Jacques, Garcia, Stéphane, Lepage, Anne Laure, Tomasini, Pascale, Galon, Jérôme“…Immunoscore-IC classification improved the discriminating power of prognostic model, which included clinical variables and pathologist PD-L1 assessment. …”
Publicado 2023
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74546por Bragina, Olga, Chernov, Vladimir, Schulga, Alexey, Konovalova, Elena, Hober, Sophia, Deyev, Sergey, Sörensen, Jens, Tolmachev, Vladimir“…ABSTRACT: Previous Phase I clinical evaluations of the radiolabelled scaffold proteins [(99m)Tc]Tc-ADAPT6 and DARPin [(99m)Tc]Tc-(HE)(3)-G3 in breast cancer patients have demonstrated their safety and indicated their capability to discriminate between HER2-positive and HER2-negative tumours. …”
Publicado 2023
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74547por Idowu, Modoluwamu, Taiwo, Godstime, Sidney, Taylor, Morenikeji, Olanrewaju B, Pech Cervantes, Andres, Estrada-Reyes, Zaira M, Wilson, Matthew, Ogunade, Ibukun M“…We compared the rumen bacterial community composition at the genus level using a linear discriminant analysis effect size (LEfSe) to identify the differentially abundant taxa between the two groups of beef steers. …”
Publicado 2023
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74548por Yoeli-Bik, Roni, Longman, Ryan E., Wroblewski, Kristen, Weigert, Melanie, Abramowicz, Jacques S., Lengyel, Ernst“…In the ROC analysis, the AUCs for discriminative performance of the ADNEX and O-RADS models were 0.96 (95% CI, 0.93-0.98) and 0.92 (95% CI, 0.90-0.95), respectively. …”
Publicado 2023
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74549por Ferkh, Aaisha, Tjahjadi, Catherina, Stefani, Luke, Geenty, Paul, Byth, Karen, De Silva, Kasun, Boyd, Anita C., Richards, David, Mollee, Peter, Korczyk, Dariusz, Taylor, Mark S., Kwok, Fiona, Kizana, Eddy, Ng, Arnold C. T., Thomas, Liza“…RAS and AMYLI score differentiated CA from AFD (ROC-AUC of 0.79 and 0.80, respectively). A linear discriminant analysis with stepwise variable selection using linear combinations of LV mass index, average e′, LVGLS and basal strain correctly classified 79% of all cases. …”
Publicado 2023
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74550por Hernández-Hermoso, José A., Nescolarde, Lexa, Yañez-Siller, Federico, Calle-García, Juan, Garcia-Perdomo, Damian, Pérez-Andres, Ricard“…We analysed measures of 55 patients using the area under the ROC curve (AUC) analysis to ascertain the discriminative capacity of BFA, ATA, TE_PTCA and BC_PTCA for predicting a successful clinical outcome according to the Knee Society Score (KSS) threshold. …”
Publicado 2023
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74551por Oliveira, Marianne S., Santo, Rafaela C.E., Silva, Jordana M.S., Alabarse, Paulo V.G., Brenol, Claiton V., Young, Steve P., Xavier, Ricardo M.“…Principal component analysis (PCA) and partial least squares‐discriminant analysis (PLS‐DA) were applied to the (1)H‐NMR data, followed by Spearman's correlation analysis. …”
Publicado 2023
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74552por Esposito, C. M., Ceresa, A., Di Paolo, M., Surace, T., Moioli, L., Legnani, F., Nosari, G., Ciappolino, V., Auxilia, A. M., Cappellazzi, M., Tagliabue, I., Cirella, L., Capuzzi, E., Caldiroli, A., Dekanalis, A., Clerici, M., Buoli, M.“…OBJECTIVES: The aim of this study is therefore to identify clinical and biological markers able to discriminate between BD patients with (BD-PS) and without lifetime psychotic symptoms (BD-NPS) to facilitate early diagnosis and to implement a target clinical management of these patients. …”
Publicado 2023
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74553por Chu, Kwo-Ta, Lei, Weng-Chi, Wu, Ming-Hsiu, Fuh, Jong-Ling, Wang, Shuu-Jiun, French, Isobel T., Chang, Wen-Sheng, Chang, Chi-Fu, Huang, Norden E., Liang, Wei-Kuang, Juan, Chi-Hung“…(b) At the individual level of cross-sectional analysis, implementation of machine learning algorithms discriminated between groups with good sensitivity (Sen) and specificity (Spec) as follows: CN elderly vs. …”
Publicado 2023
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74554por Mobini, Nazanin, Codari, Marina, Riva, Francesca, Ienco, Maria Giovanna, Capra, Davide, Cozzi, Andrea, Carriero, Serena, Spinelli, Diana, Trimboli, Rubina Manuela, Baselli, Giuseppe, Sardanelli, Francesco“…Starting from a pretrained VGG16 model, we trained a convolutional neural network to discriminate BAC+ and BAC− mammograms. Accuracy, F1 score, and area under the receiver operating characteristic curve (AUC-ROC) were used to assess the diagnostic performance. …”
Publicado 2023
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74555por Natae, Shewaye Fituma, Merzah, Mohammed Abdulridha, Sándor, János, Ádány, Róza, Bereczky, Zsuzsanna, Fiatal, Szilvia“…The AUC of Leiden mutation (rs6025) showed better discriminative accuracy than that of other SNPs (AUC = 0.62, 95% CI: 0.57–0.66). …”
Publicado 2023
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74556por Fuentes-Fayos, Antonio C, Garcia-Garcia, Miguel E, Cano, David, Martínez-Fuentes, Antonio J, Di Caro, Isidoro, Gahete, Manuel D, Castaño, Justo P, Martínez-Barbera, Juan P, Soto-Moreno, Alfonso, Galvez-Moreno, Maria A, Jimenez-Vacas, Juan M, Luque, Raul M“…Specifically, 4 SFs were identified as the most discriminating diagnostic/prognostic factors, being corroborated in additional human cohorts, and associated with key clinical parameters suggesting a potential oncogenic role in CP. …”
Publicado 2023
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74557por Luo, Da, Wu, Hui, Zhou, Wenjie, Zhang, Jing, Jin, Xing, Xu, Changwu, Huang, Bing, Yang, Jian, Jiang, Hong, Chen, Jing“…The receiver‐operating characteristic curve was used to assess discriminant ability to predict HF. A total of 942 patients (mean age was 57.8 ± 11.7 years and 84.6% were men) were enrolled. …”
Publicado 2023
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74558por Mazzarello, Andrea N., Fitch, Mark, Cardillo, Martina, Ng, Anita, Bhuiya, Sabreen, Sharma, Esha, Bagnara, Davide, Kolitz, Jonathan E., Barrientos, Jacqueline C., Allen, Steven L., Rai, Kanti R., Rhodes, Joanna, Hellerstein, Marc K., Chiorazzi, Nicholas“…Similarly, smIgM(High) and smIgD(High) cells were the youngest, and smIgM(Low) and smIgD(Low) were the oldest, when using smIG levels as discriminator. Surprisingly, the cells closest to the last stimulatory event bore high levels of smIG, and stimulating via TLR9 and smIG yielded a phenotype more consistent with the in vivo setting. …”
Publicado 2023
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74559por Vierula, Jari-Pekka, Nurminen, Janne, Jussila, Ville, Nyman, Mikko, Heikkinen, Jaakko, Pape, Bernd, Sorvettula, Kaarlo, Mattila, Kimmo, Hirvonen, Jussi“…BACKGROUND: We investigated whether a short, 5-min magnetic resonance imaging (MRI) protocol consisting of only axial T2-weighted and diffusion-weighted imaging (DWI) sequences can discriminate between tonsillar infections, peritonsillar abscesses and deeply extending abscesses in a retrospective, blinded, multireader setting. …”
Publicado 2023
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74560por Hallan, Stein I., Øvrehus, Marius A., Darshi, Manjula, Montemayor, Daniel, Langlo, Knut A., Bruheim, Per, Sharma, Kumar“…Still, partial least-squares discriminant analysis showed strong metabolite-based separation (R(2), 0.82; Q(2), 0.52), with patients with NA-DKD having a metabolic profile positioned between the profiles of healthy controls and patients with A-DKD. …”
Publicado 2023
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