This paper develops a general framework for conducting inference on the rank of an unknown matrix Π0. A defining feature of our setup is the null hypothesis of the form H0:rank(Π0)≤r. The problem is of first
//doi.org/10.1186/s12859-019-2768-7 RESEARCH Open Access L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions Zhen Cui1, Ying-Lian Gao2, Jin-Xing Liu1,3*, Ling-Yun Dai1 and Sha-Sha Yuan1 From International Conference on Data Science, ...
Due to the swift advancement of the Internet of Things (IoT), there has been a significant surge in the quantity of interconnected IoT devices that send and exchange vital data across the network. Nevertheless, the frequency of attacks on the Internet of
A scalable variational inference approach for increased mixed-model association power Article Open access 09 January 2025 Introduction There is a great demand for more accurate genetic prediction models of complex traits. Better models will, for example, improve our ability to investigate genetic archit...
As complexity and capabilities of Artificial Intelligence technologies increase, so does its potential for misuse. Deepfake videos are an example. They are
Here, we present DISCERN, a novel deep generative network that precisely reconstructs missing single-cell gene expression using a reference dataset. DISCERN outperforms competing algorithms in expression inference resulting in greatly improved cell clustering, cell type and activity detection, and insights...
DISCERN allows for the realistic reconstruction of gene expression information by transferring the style of hq data onto lq data, in latent and gene space. Our experiments on real and simulated data show that DISCERN outperforms several existing algorithms in gene expression inference across a wide ...
Furthermore, Table 2 presents the Total Parameters, the Training and Inference time, the Flops and the mean value of epochs needed for each model to converge. Fig. 6 presents the confusion matrices of the test set for SqueezeNodule-Net V1 (left) and V2 (right) for the 2D setting. For...
Vehicle re-identification (re-id) aims to solve the problems of matching and identifying the same vehicle under the scenes across multiple surveillance cameras. For public security and intelligent transportation system (ITS), it is extremely important to locate the target vehicle quickly and accurately...
(Fig.1band Supplementary Fig.2). The inferred TF regulons can subsequently be applied to suitably matched scRNA-Seq data in a linear regression framework26(“Methods”) to estimate regulatory activity for each single cell. By using the actual regulon of the TF, this inference should be robust...