多嘴 发表于 2025-4-1 04:52:15
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods, to perform clustering and then compute a functional characterization via enrichments by Gene Ontology terms . To better assist the interpretation of results, it may be useful to establish connections among different clusters. This machine learning step is sometimes termed ., and several approach控制 发表于 2025-4-1 09:42:33
http://reply.papertrans.cn/19/1872/187162/187162_62.pngVsd168 发表于 2025-4-1 12:52:00
http://reply.papertrans.cn/19/1872/187162/187162_63.pngDeceit 发表于 2025-4-1 18:03:51
An Adaptive Resolution Tree Visualization of Large Influenza Virus Sequence Datasets, be represented in an easy-to-comprehend form and allow convenient manipulation of the data..We developed an adaptive approach to visualization of large sequence datasets on the web. A dataset is presented in an aggregated tree form with special representation of sub-scale details. The representatio饥荒 发表于 2025-4-1 20:21:21
Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Int of the microcalcifications, as well as morphological features of individual microcalcifications. We have developed state-of-the-art wavelet-based methods to enhance the resolution of microcalcifications visible on digital mammograms, aimed at improving the specificity of breast cancer diagnoses.刺耳 发表于 2025-4-2 02:35:44
http://reply.papertrans.cn/19/1872/187162/187162_66.pngMURKY 发表于 2025-4-2 04:52:59
https://doi.org/10.1007/978-3-642-94197-9ich also plays an important role in the discovery of responsive genes while variance alone is not appropriate because of nonuniform noise variance across genes. Hence, we propose a novel . which effectively combines smoothness and variance of gene expression time-course. We demonstrate that dSEVRaTBRAVE 发表于 2025-4-2 09:15:11
http://reply.papertrans.cn/19/1872/187162/187162_68.pngpropose 发表于 2025-4-2 14:42:43
,Der gedämpfte harmonische Oszillator,n (BIC). This framework can incorporate most clustering algorithms and improve their performance. In this study we illustrate the effectiveness of this platform by incorporating the standard K-Means and the Quantum Clustering algorithms. The implementations are applied to several gene-expression ben