Search Results - "Lei, Haoyun"
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1
Promotion of behavior and neuronal function by reactive oxygen species in C. elegans
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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2
Functional Aging in the Nervous System Contributes to Age-Dependent Motor Activity Decline in C. elegans
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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3
Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data
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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4
Neural Network Deconvolution Method for Resolving Pathway-Level Progression of Tumor Clonal Expression Programs With Application to Breast Cancer Brain Metastases
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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5
A Clonal Evolution Simulator for Planning Somatic Evolution Studies
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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6
Simultaneous learning coefficient matrix and affinity graph for multiple kernel clustering
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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7
Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations
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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8
Multiple kernel clustering with pure graph learning scheme
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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Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis
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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Semi-deconvolution of bulk and single-cell RNA-seq data with application to metastatic progression in breast cancer
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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11
Joint Clustering of Single-Cell Sequencing and Fluorescence In Situ Hybridization Data for Reconstructing Clonal Heterogeneity in Cancers
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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Abstract 1650: Deconvolution of copy number alterations combining bulk and single-cell genomic data
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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13
The Neuronal Kinesin UNC-104/KIF1A Is a Key Regulator of Synaptic Aging and Insulin Signaling-Regulated Memory
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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Abstract 5031: Improved deconvolution of combined bulk and single-cell RNA-sequencing data
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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15
Tumor Copy Number Data Deconvolution Integrating Bulk and Single-cell Sequencing Data
Published in 2018 IEEE 8th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) (01-10-2018)“…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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