FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3028239487> ?p ?o ?g. }

• W3028239487 abstract "Abstract Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. Due to the complexity of BC, the prediction of proteins involved in this disease is a trending topic in drug design. This work is proposing accurate prediction classifier for BC proteins using six sets of protein sequence descriptors and 13 machine-learning methods. After using a univariate feature selection for the mix of five descriptor families, the best classifier was obtained using multilayer perceptron method (artificial neural network) and 300 features. The performance of the model is demonstrated by the area under the receiver operating characteristics (AUROC) of 0.980 ± 0.0037, and accuracy of 0.936 ± 0.0056 (3-fold cross-validation). Regarding the prediction of 4,504 cancer-associated proteins using this model, the best ranked cancer immunotherapy proteins related to BC were RPS27, SUPT4H1, CLPSL2, POLR2K, RPL38, AKT3, CDK3, RPS20, RASL11A and UBTD1; the best ranked metastasis driver proteins related to BC were S100A9, DDA1, TXN, PRNP, RPS27, S100A14, S100A7, MAPK1, AGR3 and NDUFA13; and the best ranked RNA-binding proteins related to BC were S100A9, TXN, RPS27L, RPS27, RPS27A, RPL38, MRPL54, PPAN, RPS20 and CSRP1. This powerful model predicts several BC-related proteins that should be deeply studied to find new biomarkers and better therapeutic targets. Scripts can be downloaded at https://github.com/muntisa/neural-networks-for-breast-cancer-proteins ." @default.
• W3028239487 created "2020-05-29" @default.
• W3028239487 creator A5000779478 @default.
• W3028239487 creator A5006332127 @default.
• W3028239487 creator A5029383178 @default.
• W3028239487 creator A5040406602 @default.
• W3028239487 creator A5052621471 @default.
• W3028239487 creator A5058919066 @default.
• W3028239487 creator A5062687794 @default.
• W3028239487 creator A5076771459 @default.
• W3028239487 creator A5089354223 @default.
• W3028239487 creator A5091734590 @default.
• W3028239487 date "2020-05-22" @default.
• W3028239487 modified "2023-10-17" @default.
• W3028239487 title "Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks" @default.
• W3028239487 cites W1770869992 @default.
• W3028239487 cites W1967554461 @default.
• W3028239487 cites W1967903496 @default.
• W3028239487 cites W1970361289 @default.
• W3028239487 cites W1971842146 @default.
• W3028239487 cites W1988880705 @default.
• W3028239487 cites W2008353316 @default.
• W3028239487 cites W2009113274 @default.
• W3028239487 cites W2030205108 @default.
• W3028239487 cites W2037668591 @default.
• W3028239487 cites W2057379607 @default.
• W3028239487 cites W2069319199 @default.
• W3028239487 cites W2070493638 @default.
• W3028239487 cites W2079194996 @default.
• W3028239487 cites W2080183018 @default.
• W3028239487 cites W2085142263 @default.
• W3028239487 cites W2089364185 @default.
• W3028239487 cites W2093476365 @default.
• W3028239487 cites W2096283457 @default.
• W3028239487 cites W2098057602 @default.
• W3028239487 cites W2114843025 @default.
• W3028239487 cites W2116759194 @default.
• W3028239487 cites W2119562778 @default.
• W3028239487 cites W2120777670 @default.
• W3028239487 cites W2124711114 @default.
• W3028239487 cites W2124954099 @default.
• W3028239487 cites W2148143831 @default.
• W3028239487 cites W2149441684 @default.
• W3028239487 cites W2153349010 @default.
• W3028239487 cites W2155653793 @default.
• W3028239487 cites W2182398260 @default.
• W3028239487 cites W2188527201 @default.
• W3028239487 cites W2255823436 @default.
• W3028239487 cites W2332130598 @default.
• W3028239487 cites W2560641002 @default.
• W3028239487 cites W2604819175 @default.
• W3028239487 cites W2619406637 @default.
• W3028239487 cites W2735132087 @default.
• W3028239487 cites W2736756678 @default.
• W3028239487 cites W2743484084 @default.
• W3028239487 cites W2744743363 @default.
• W3028239487 cites W2757254843 @default.
• W3028239487 cites W2757328749 @default.
• W3028239487 cites W2766141367 @default.
• W3028239487 cites W2766480004 @default.
• W3028239487 cites W2768780018 @default.
• W3028239487 cites W2785329615 @default.
• W3028239487 cites W2795441251 @default.
• W3028239487 cites W2795941120 @default.
• W3028239487 cites W2795989238 @default.
• W3028239487 cites W2796207838 @default.
• W3028239487 cites W2796208126 @default.
• W3028239487 cites W2796292093 @default.
• W3028239487 cites W2796408191 @default.
• W3028239487 cites W2810158754 @default.
• W3028239487 cites W2889646458 @default.
• W3028239487 cites W2891533221 @default.
• W3028239487 cites W2897422787 @default.
• W3028239487 cites W2900418488 @default.
• W3028239487 cites W2900668971 @default.
• W3028239487 cites W2911964244 @default.
• W3028239487 cites W2915626801 @default.
• W3028239487 cites W2946146152 @default.
• W3028239487 cites W2949492942 @default.
• W3028239487 cites W2952121859 @default.
• W3028239487 cites W2972438906 @default.
• W3028239487 cites W2976511826 @default.
• W3028239487 cites W2980652798 @default.
• W3028239487 cites W2996426405 @default.
• W3028239487 cites W2999486020 @default.
• W3028239487 cites W3013910062 @default.
• W3028239487 cites W3102476541 @default.
• W3028239487 cites W3106930452 @default.
• W3028239487 cites W4242021267 @default.
• W3028239487 doi "https://doi.org/10.1038/s41598-020-65584-y" @default.
• W3028239487 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7244564" @default.
• W3028239487 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32444848" @default.
• W3028239487 hasPublicationYear "2020" @default.
• W3028239487 type Work @default.
• W3028239487 sameAs 3028239487 @default.
• W3028239487 citedByCount "21" @default.
• W3028239487 countsByYear W30282394872020 @default.
• W3028239487 countsByYear W30282394872021 @default.
• W3028239487 countsByYear W30282394872022 @default.
• W3028239487 countsByYear W30282394872023 @default.

• next