1258 related articles for article (PubMed ID: 33371891)
1. Network-based drug sensitivity prediction.
Ahmed KT; Park S; Jiang Q; Yeu Y; Hwang T; Zhang W
BMC Med Genomics; 2020 Dec; 13(Suppl 11):193. PubMed ID: 33371891
[TBL] [Abstract][Full Text] [Related]
2. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
3. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
[TBL] [Abstract][Full Text] [Related]
4. Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning.
Pang W; Chen M; Qin Y
BMC Bioinformatics; 2024 May; 25(1):182. PubMed ID: 38724920
[TBL] [Abstract][Full Text] [Related]
5. A deep neural network approach to predicting clinical outcomes of neuroblastoma patients.
Tranchevent LC; Azuaje F; Rajapakse JC
BMC Med Genomics; 2019 Dec; 12(Suppl 8):178. PubMed ID: 31856829
[TBL] [Abstract][Full Text] [Related]
6. Modular within and between score for drug response prediction in cancer cell lines.
Wang S; Li J
Mol Omics; 2020 Feb; 16(1):31-38. PubMed ID: 31802092
[TBL] [Abstract][Full Text] [Related]
7. Comparative evaluation of network features for the prediction of breast cancer metastasis.
Adnan N; Liu Z; Huang THM; Ruan J
BMC Med Genomics; 2020 Apr; 13(Suppl 5):40. PubMed ID: 32241278
[TBL] [Abstract][Full Text] [Related]
8. SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma.
Liu E; Zhang ZZ; Cheng X; Liu X; Cheng L
BMC Med Genomics; 2020 Apr; 13(Suppl 5):50. PubMed ID: 32241274
[TBL] [Abstract][Full Text] [Related]
9. Convolutional neural network models for cancer type prediction based on gene expression.
Mostavi M; Chiu YC; Huang Y; Chen Y
BMC Med Genomics; 2020 Apr; 13(Suppl 5):44. PubMed ID: 32241303
[TBL] [Abstract][Full Text] [Related]
10. Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture.
Kishore A; Venkataramana L; Prasad DVV; Mohan A; Jha B
Med Biol Eng Comput; 2023 Nov; 61(11):2895-2919. PubMed ID: 37530887
[TBL] [Abstract][Full Text] [Related]
11. Clinical Drug Response Prediction by Using a Lq Penalized Network-Constrained Logistic Regression Method.
Huang HH; Dai JG; Liang Y
Cell Physiol Biochem; 2018; 51(5):2073-2084. PubMed ID: 30522095
[TBL] [Abstract][Full Text] [Related]
12. Robust edge-based biomarker discovery improves prediction of breast cancer metastasis.
Adnan N; Lei C; Ruan J
BMC Bioinformatics; 2020 Sep; 21(Suppl 14):359. PubMed ID: 32998692
[TBL] [Abstract][Full Text] [Related]
13. Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning.
Zhang Y; Wang Z; Wei H; Chen M
BMC Med Inform Decis Mak; 2024 Jun; 24(1):159. PubMed ID: 38844961
[TBL] [Abstract][Full Text] [Related]
14. Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer.
Chereda H; Leha A; Beißbarth T
Artif Intell Med; 2024 May; 151():102840. PubMed ID: 38658129
[TBL] [Abstract][Full Text] [Related]
15. EMT network-based feature selection improves prognosis prediction in lung adenocarcinoma.
Shao B; Bjaanæs MM; Helland Å; Schütte C; Conrad T
PLoS One; 2019; 14(1):e0204186. PubMed ID: 30703089
[TBL] [Abstract][Full Text] [Related]
16. Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data.
Xu D; Zhang J; Xu H; Zhang Y; Chen W; Gao R; Dehmer M
BMC Genomics; 2020 Sep; 21(1):650. PubMed ID: 32962626
[TBL] [Abstract][Full Text] [Related]
17. TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.
Liu Q; Xie L
PLoS Comput Biol; 2021 Feb; 17(2):e1008653. PubMed ID: 33577560
[TBL] [Abstract][Full Text] [Related]
18. SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.
Jiang HJ; Huang YA; You ZH
Sci Rep; 2020 Mar; 10(1):4972. PubMed ID: 32188871
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics analysis and experimental validation of TTK as a biomarker for prognosis in non-small cell lung cancer.
Chen J; Wu R; Xuan Y; Jiang M; Zeng Y
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32969465
[TBL] [Abstract][Full Text] [Related]
20. Integration of protein phosphorylation, acetylation, and methylation data sets to outline lung cancer signaling networks.
Grimes M; Hall B; Foltz L; Levy T; Rikova K; Gaiser J; Cook W; Smirnova E; Wheeler T; Clark NR; Lachmann A; Zhang B; Hornbeck P; Ma'ayan A; Comb M
Sci Signal; 2018 May; 11(531):. PubMed ID: 29789295
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]