121 related articles for article (PubMed ID: 20161245)
41. Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans, and GMM.
Mirzal A
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(2):1173-1192. PubMed ID: 32956065
[TBL] [Abstract][Full Text] [Related]
42. A clustering effectiveness measurement model based on merging similar clusters.
Duan G; Zou C
PeerJ Comput Sci; 2024; 10():e1863. PubMed ID: 38435574
[TBL] [Abstract][Full Text] [Related]
43. SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, part 1: algorithm design.
Naim I; Datta S; Rebhahn J; Cavenaugh JS; Mosmann TR; Sharma G
Cytometry A; 2014 May; 85(5):408-21. PubMed ID: 24677621
[TBL] [Abstract][Full Text] [Related]
44. A Novel GMM-Based Behavioral Modeling Approach for Smartwatch-Based Driver Authentication.
Yang CH; Chang CC; Liang D
Sensors (Basel); 2018 Mar; 18(4):. PubMed ID: 29597285
[TBL] [Abstract][Full Text] [Related]
45. Evaluation of clustering and topic modeling methods over health-related tweets and emails.
Lossio-Ventura JA; Gonzales S; Morzan J; Alatrista-Salas H; Hernandez-Boussard T; Bian J
Artif Intell Med; 2021 Jul; 117():102096. PubMed ID: 34127235
[TBL] [Abstract][Full Text] [Related]
46. Gaussian-input Gaussian mixture model for representing density maps and atomic models.
Kawabata T
J Struct Biol; 2018 Jul; 203(1):1-16. PubMed ID: 29522817
[TBL] [Abstract][Full Text] [Related]
47. A Multivariate Computational Method to Analyze High-Content RNAi Screening Data.
Rameseder J; Krismer K; Dayma Y; Ehrenberger T; Hwang MK; Airoldi EM; Floyd SR; Yaffe MB
J Biomol Screen; 2015 Sep; 20(8):985-97. PubMed ID: 25918037
[TBL] [Abstract][Full Text] [Related]
48. A new Monte Carlo sampling method based on Gaussian Mixture Model for imbalanced data classification.
Chen G; Hou B; Lei T
Math Biosci Eng; 2023 Sep; 20(10):17866-17885. PubMed ID: 38052540
[TBL] [Abstract][Full Text] [Related]
49. Fitting Gaussian mixture models on incomplete data.
McCaw ZR; Aschard H; Julienne H
BMC Bioinformatics; 2022 Jun; 23(1):208. PubMed ID: 35650523
[TBL] [Abstract][Full Text] [Related]
50. Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models.
Ravazzi C; Magli E
EURASIP J Adv Signal Process; 2018; 2018(1):46. PubMed ID: 30996728
[TBL] [Abstract][Full Text] [Related]
51. Laser reflectance feature assisted accurate extrinsic calibration for non-repetitive scanning LiDAR and camera systems.
Lai Z; Wang Y; Guo S; Meng X; Li J; Li W; Han S
Opt Express; 2022 May; 30(10):16242-16263. PubMed ID: 36221472
[TBL] [Abstract][Full Text] [Related]
52. Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification.
Li Y; Zhang Y; Zhu Z
IEEE Trans Cybern; 2021 Apr; 51(4):1756-1768. PubMed ID: 32413949
[TBL] [Abstract][Full Text] [Related]
53. Avoiding inferior clusterings with misspecified Gaussian mixture models.
Kasa SR; Rajan V
Sci Rep; 2023 Nov; 13(1):19164. PubMed ID: 37932317
[TBL] [Abstract][Full Text] [Related]
54. Targeting mitosis-regulating genes in cisplatin-sensitive and -resistant melanoma cells: A live-cell RNAi screen displays differential nucleus-derived phenotypes.
Erfle H; Pashayeva K; Harder N; Zhang L; Rohr K; Schadendorf D; Ugurel S; Keese M
Biotechnol J; 2015 Sep; 10(9):1467-77. PubMed ID: 25880279
[TBL] [Abstract][Full Text] [Related]
55. Contourlet-based active contour model for PET image segmentation.
Abdoli M; Dierckx RA; Zaidi H
Med Phys; 2013 Aug; 40(8):082507. PubMed ID: 23927352
[TBL] [Abstract][Full Text] [Related]
56. Including probe-level measurement error in robust mixture clustering of replicated microarray gene expression.
Liu X; Rattray M
Stat Appl Genet Mol Biol; 2010; 9():Article42. PubMed ID: 21194414
[TBL] [Abstract][Full Text] [Related]
57. Robust generative asymmetric GMM for brain MR image segmentation.
Ji Z; Xia Y; Zheng Y
Comput Methods Programs Biomed; 2017 Nov; 151():123-138. PubMed ID: 28946994
[TBL] [Abstract][Full Text] [Related]
58. Weighted dimensionality reduction and robust Gaussian mixture model based cancer patient subtyping from gene expression data.
Rafique O; Mir AH
J Biomed Inform; 2020 Dec; 112():103620. PubMed ID: 33188907
[TBL] [Abstract][Full Text] [Related]
59. Pixel-wise estimation of noise statistics on iterative CT reconstruction from a single scan.
Wang T; Zhu L
Med Phys; 2017 Jul; 44(7):3525-3533. PubMed ID: 28444799
[TBL] [Abstract][Full Text] [Related]
60. Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling.
Nezhadmoghadam F; Martinez-Torteya A; Treviño V; Martínez E; Santos A; Tamez-Peña J; Alzheimer's Disease Neuroimaging Initiative
Curr Alzheimer Res; 2021; 18(7):595-606. PubMed ID: 34488612
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]