Open AccessBook
Analyzing Microarray Gene Expression Data
Geoffrey J. McLachlan,Kim Anh Do,Christophe Ambroise +2 more
- 04 Aug 2004
875
TL;DR: In this article, the authors proposed a supervised classification of Tissue Samples and linked the supervised classification with survival analysis, and showed that the classification of tissue samples is more accurate than that of microarray data.
read more
Abstract: Preface. 1. Microarrays in Gene Expression Studies. 2. Cleaning and Normalization. 3. Some Cluster Analysis Methods. 4. Clustering of Tissue Samples. 5. Screening and Clustering of Genes. 6. Discriminant Analysis. 7. Supervised Classification of Tissue Samples. 8. Linking Microarray Data with Survival Analysis. References. Author Index. Subject Index.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM
TL;DR: A deep learning model combining a denoising AutoEncoder and convolutional long short-term memory (LSTM) was proposed to predict the ocean weather worldwide, showing the applicability of the proposed learning model for predicting ocean weather.
42
Automated determination of wakefulness and sleep in rats based on non-invasively acquired measures of movement and respiratory activity.
TL;DR: The results indicate that automated scoring based on non-invasively acquired movement and respiratory activity will be useful for studies requiring discrimination of wakefulness and sleep, however, additional information or signals will be needed to improve discrimination of NREM and REM episodes within sleep.
41
Parameters optimization of hybrid strategy recommendation based on particle swarm algorithm
Biao Cai,Xinping Zhu,Yangxin Qin +2 more
TL;DR: Experiments indicated that the IHM algorithm is better than HHM algorithms in terms of the recommendation accuracy, diversity and novelty, and can also improve the recommendation for items with lower popularity and solve the cold start problem.
41
On the Benjamini--Hochberg method
J. A. Ferreira,A. H. Zwinderman +1 more
TL;DR: This article investigated the properties of the Benjamini-Hochberg method for multiple testing and of a variant of Storey's generalization of it, extending and complementing the asymptotic and exact results available in the literature.
40
Rapid Prediction Model for Urban Floods Based on a Light Gradient Boosting Machine Approach and Hydrological–Hydraulic Model
TL;DR: Wang et al. as discussed by the authors proposed a hybrid modeling approach for rapid prediction of urban floods, coupling the physically based model with the light gradient boosting machine (LightGBM) model, which provides a scientific reference for flood control in coastal cities considering its superior performance and computational efficiency.