Search Results - "Lei, Haoyun"

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  1. 1

    Promotion of behavior and neuronal function by reactive oxygen species in C. elegans by Li, Guang, Gong, Jianke, Lei, Haoyun, Liu, Jianfeng, Xu, X. Z. Shawn

    Published in Nature communications (08-11-2016)
    “…Reactive oxygen species (ROS) are well known to elicit a plethora of detrimental effects on cellular functions by causing damages to proteins, lipids and…”
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    Journal Article
  2. 2

    Functional Aging in the Nervous System Contributes to Age-Dependent Motor Activity Decline in C. elegans by Liu, Jie, Zhang, Bi, Lei, Haoyun, Feng, Zhaoyang, Liu, Jianfeng, Hsu, Ao-Lin, Xu, X.Z. Shawn

    Published in Cell metabolism (03-09-2013)
    “…Aging is characterized by a progressive decline in multiple physiological functions (i.e., functional aging). As animals age, they exhibit a gradual loss in…”
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    Journal Article
  3. 3

    Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data by Lei, Haoyun, Gertz, E Michael, Schäffer, Alejandro A, Fu, Xuecong, Tao, Yifeng, Heselmeyer-Haddad, Kerstin, Torres, Irianna, Li, Guibo, Xu, Liqin, Hou, Yong, Wu, Kui, Shi, Xulian, Dean, Michael, Ried, Thomas, Schwartz, Russell

    Published in Bioinformatics (11-12-2021)
    “…Abstract Motivation Computational reconstruction of clonal evolution in cancers has become a crucial tool for understanding how tumors initiate and progress…”
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    Journal Article
  4. 4

    Neural Network Deconvolution Method for Resolving Pathway-Level Progression of Tumor Clonal Expression Programs With Application to Breast Cancer Brain Metastases by Tao, Yifeng, Lei, Haoyun, Lee, Adrian V, Ma, Jian, Schwartz, Russell

    Published in Frontiers in physiology (04-09-2020)
    “…Metastasis is the primary mechanism by which cancer results in mortality and there are currently no reliable treatment options once it occurs, making the…”
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    Journal Article
  5. 5

    A Clonal Evolution Simulator for Planning Somatic Evolution Studies by Srivatsa, Arjun, Lei, Haoyun, Schwartz, Russell

    Published in Journal of computational biology (01-08-2023)
    “…Somatic evolution plays a key role in development, cell differentiation, and normal aging, but also in diseases such as cancer. Understanding mechanisms of…”
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    Journal Article
  6. 6

    Simultaneous learning coefficient matrix and affinity graph for multiple kernel clustering by Ren, Zhenwen, Lei, Haoyun, Sun, Quansen, Yang, Chao

    Published in Information sciences (08-02-2021)
    “…•We propose a new multiple kernel clustering method.•We propose to learn affinity matrix and coefficient matrix simultaneously.•Our method avoids selecting a…”
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    Journal Article
  7. 7

    Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations by Fu, Xuecong, Lei, Haoyun, Tao, Yifeng, Schwartz, Russell

    Published in Bioinformatics (24-06-2022)
    “…Abstract Motivation Cancer develops through a process of clonal evolution in which an initially healthy cell gives rise to progeny gradually differentiating…”
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    Journal Article
  8. 8

    Multiple kernel clustering with pure graph learning scheme by Li, Xingfeng, Ren, Zhenwen, Lei, Haoyun, Huang, Yuqing, Sun, Quansen

    Published in Neurocomputing (Amsterdam) (01-02-2021)
    “…•A pure graph based multiple kernel clustering method is proposed.•The proposed method can avoid selecting kernel function and tuning kernel arguments.•The…”
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    Journal Article
  9. 9

    Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis by Tao, Yifeng, Lei, Haoyun, Fu, Xuecong, Lee, Adrian V, Ma, Jian, Schwartz, Russell

    Published in Bioinformatics (Oxford, England) (01-07-2020)
    “…Cancer develops and progresses through a clonal evolutionary process. Understanding progression to metastasis is of particular clinical importance, but is not…”
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    Journal Article
  10. 10

    Semi-deconvolution of bulk and single-cell RNA-seq data with application to metastatic progression in breast cancer by Lei, Haoyun, Guo, Xiaoyan A, Tao, Yifeng, Ding, Kai, Fu, Xuecong, Oesterreich, Steffi, Lee, Adrian V, Schwartz, Russell

    Published in Bioinformatics (24-06-2022)
    “…Abstract Motivation Identifying cell types and their abundances and how these evolve during tumor progression is critical to understanding the mechanisms of…”
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    Journal Article
  11. 11

    Joint Clustering of Single-Cell Sequencing and Fluorescence In Situ Hybridization Data for Reconstructing Clonal Heterogeneity in Cancers by Fu, Xuecong, Lei, Haoyun, Tao, Yifeng, Heselmeyer-Haddad, Kerstin, Torres, Irianna, Dean, Michael, Ried, Thomas, Schwartz, Russell

    Published in Journal of computational biology (01-11-2021)
    “…Aneuploidy and whole genome duplication (WGD) events are common features of cancers associated with poor outcomes, but the ways they influence trajectories of…”
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    Journal Article
  12. 12

    Abstract 1650: Deconvolution of copy number alterations combining bulk and single-cell genomic data by Lei, Haoyun, Lyu, Bochuan, Gertz, E. Michael, Schaeffer, Alejandro A., Shi, Xulian, Wu, Kui, Li, Guibo, Xu, Liqin, Hou, Yong, Dean, Michael, Schwartz, Russell

    Published in Cancer research (Chicago, Ill.) (01-07-2019)
    “…Abstract Characterizing the evolution of clonal cell populations in tumor progression is a challenging task given pervasive intratumor heterogeneity (ITH)…”
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    Journal Article
  13. 13

    The Neuronal Kinesin UNC-104/KIF1A Is a Key Regulator of Synaptic Aging and Insulin Signaling-Regulated Memory by Li, Ling-Bo, Lei, Haoyun, Arey, Rachel N., Li, Pengpeng, Liu, Jianfeng, Murphy, Coleen T., Xu, X.Z. Shawn, Shen, Kang

    Published in Current biology (07-03-2016)
    “…Aging is the greatest risk factor for a number of neurodegenerative diseases, such as Alzheimer’s and Parkinson’s disease. Furthermore, normal aging is…”
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  14. 14

    Abstract 5031: Improved deconvolution of combined bulk and single-cell RNA-sequencing data by Lei, Haoyun, Guo, Xiaoyan A., Tao, Yifeng, Ding, Kai, Fu, Xuecong, Oesterreich, Steffi, Lee, Adrian V., Schwartz, Russell

    Published in Cancer research (Chicago, Ill.) (15-06-2022)
    “…Abstract Identifying how cell types and their abundances evolve during tumor progression is critical to understanding the mechanisms and identifying predictors…”
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    Journal Article
  15. 15

    Tumor Copy Number Data Deconvolution Integrating Bulk and Single-cell Sequencing Data by Lei, Haoyun, Lyu, Bochuan, Gertz, E. Michael, Schaffer, Alejandro A., Schwartz, Russell

    “…Resolving tumor heterogeneity is a crucial step in understanding cancer development and evolution but it is hampered by limits of all available data sources…”
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    Conference Proceeding