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pro vyhledávání: '"LI, Hongzhe"'
Autor:
Ge, Changhao, Li, Hongzhe
The advancement of single-cell RNA-sequencing (scRNA-seq) technologies allow us to study the individual level cell-type-specific gene expression networks by direct inference of genes' conditional independence structures. scRNA-seq data facilitates th
Externí odkaz:
http://arxiv.org/abs/2409.12275
Recent advancements in deep learning, particularly large language models (LLMs), made a significant impact on how researchers study microbiome and metagenomics data. Microbial protein and genomic sequences, like natural languages, form a language of
Externí odkaz:
http://arxiv.org/abs/2409.10579
Autor:
Ye, Hanxuan, Li, Hongzhe
Traditional statistical and machine learning methods assume identical distribution for the training and test data sets. This assumption, however, is often violated in real applications, particularly in health care research, where the training data~(s
Externí odkaz:
http://arxiv.org/abs/2405.15948
Autor:
Xu, Haoshu, Li, Hongzhe
This paper considers the problem of regression analysis with random covariance matrix as outcome and Euclidean covariates in the framework of Fr\'echet regression on the Bures-Wasserstein manifold. Such regression problems have many applications in s
Externí odkaz:
http://arxiv.org/abs/2404.03878
Autor:
Zhang, Hongzhe, Li, Hongzhe
Ridge regression with random coefficients provides an important alternative to fixed coefficients regression in high dimensional setting when the effects are expected to be small but not zeros. This paper considers estimation and prediction of random
Externí odkaz:
http://arxiv.org/abs/2306.15915
Autor:
Moroishi, Yuka, Li, Zhigang, Madan, Juliette C., Li, Hongzhe, Karagas, Margaret R., Gui, Jiang
The human microbiome has an important role in determining health. Mediation analyses quantify the contribution of the microbiome in the causal path between exposure and disease; however, current mediation models cannot fully capture the high dimensio
Externí odkaz:
http://arxiv.org/abs/2301.02331
Autor:
Xue, Fei, Li, Hongzhe
The Genotype-Tissue Expression (GTEx) project collects samples from multiple human tissues to study the relationship between genetic variation or single nucleotide polymorphisms (SNPs) and gene expression in each tissue. However, most existing eQTL a
Externí odkaz:
http://arxiv.org/abs/2211.13889
Motivated by a range of applications, we study in this paper the problem of transfer learning for nonparametric contextual multi-armed bandits under the covariate shift model, where we have data collected on source bandits before the start of the tar
Externí odkaz:
http://arxiv.org/abs/2211.12612
Publikováno v:
Fenmo yejin jishu, Vol 42, Iss 3, Pp 320-330 (2024)
To improve the hardness and wear resistance of parts, the Co, Cr, Cu, and Ni elemental metal powders were used to prepare the CoCrCu0.4FeNi high entropy alloy coatings on Q235 steel substrate by laser cladding. The microstructure of the high entropy
Externí odkaz:
https://doaj.org/article/ec93685d3f4a4529928911629fdb2b2f
Autor:
Zhang, Jingru, Basner, Mathias, Jones, Christopher W., Dinges, David F., Shou, Haochang, Li, Hongzhe
Physical activity has long been shown to be associated with biological and physiological performance and risk of diseases. It is of great interest to assess whether the effect of an exposure or intervention on an outcome is mediated through physical
Externí odkaz:
http://arxiv.org/abs/2208.13939