Search Results - "Yu, Zhuohan"

Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA by Yu, Zhuohan, Su, Yanchi, Lu, Yifu, Yang, Yuning, Wang, Fuzhou, Zhang, Shixiong, Chang, Yi, Wong, Ka-Chun, Li, Xiangtao

“…Single-cell RNA sequencing provides high-throughput gene expression information to explore cellular heterogeneity at the individual cell level. A major…”
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Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation by Su, Yanchi, Yu, Zhuohan, Yang, Yuning, Wong, Ka‐Chun, Li, Xiangtao

“…Single‐cell RNA sequencing (scRNA‐seq) is a robust method for studying gene expression at the single‐cell level, but accurately quantifying genetic material is…”
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Unraveling Spatial Domain Characterization in Spatially Resolved Transcriptomics with Robust Graph Contrastive Clustering by Zhang, Yingxi, Yu, Zhuohan, Wong, Ka-Chun, Li, Xiangtao

“…Spatial transcriptomics can quantify gene expression and its spatial distribution in tissues, thus revealing molecular mechanisms of cellular interactions…”
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scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering by Wang, Yunhe, Yu, Zhuohan, Li, Shaochuan, Bian, Chuang, Liang, Yanchun, Wong, Ka-Chun, Li, Xiangtao

“…Single-cell RNA sequencing (scRNA-seq) is an increasingly popular technique for transcriptomic analysis of gene expression at the single-cell level. Cell-type…”
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GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering by Lu, Yifu, Yu, Zhuohan, Wang, Yunhe, Ma, Zhiqiang, Wong, Ka-Chun, Li, Xiangtao

“…Abstract Motivation Thanks to the development of high-throughput sequencing technologies, massive amounts of various biomolecular data have been accumulated to…”
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Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing by Yu, Zhuohan, Bian, Chuang, Liu, Genggeng, Zhang, Shixiong, Wong, Ka-Chun, Li, Xiangtao

“…Gene-expression profiling can define the cell state and gene-expression pattern of cells at the genetic level in a high-throughput manner. With the development…”
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DTtree: A Novel Read/Write-Optimized Learned Index for Database Systems by Yu, Zhuohan, Jin, Peiquan, Chu, Zhaole, Luo, Yongping, Wang, Xiaoliang, Wan, Shouhong

“…This paper proposes a novel learned index called DTtree that can optimize both read and write performance. DTtree adopts two novel designs. (1) To improve…”
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Design and Construction of a Knowledge Database for Learning Japanese Grammar Using Natural Language Processing and Machine Learning Techniques by Liu, Jun, Fang, Yuanyu, Yu, Zhuohan, Wu, Tingkun

“…This work describes the design and construction of a computer-aided foreign language learning grammar knowledge database for learning Japanese sentence…”
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A Corpus-Based Sampling to Build Training Data Set for Extracting Japanese Sentence Pattern by Liu, Jun, Ning, Yihaoran, Fang, Yuanyu, Zhuang, Luxuan, Yu, Zhuohan, Wu, Tingkun

“…Training data set plays an important role in Natural Language Processing (NLP) or Machine Learning (ML) Tasks. In the application of NLP in Japanese language…”
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