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1.
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Trajectory inference methods are essential for analyzing the developmental paths of cells in single-cell sequencing datasets. It provides insights into cellular different [...]
03 September 2024 |
Econometrics and Statistics; Physical Sciences; Statistics |
Article |
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2.
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In this thesis, we examine two problems of convex relaxation. The first problem involves the recovery of the ground-state energy in the Ferromagnetic Ising model with loc [...]
2024-12 |
Statistics |
Dissertation |
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3.
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Inverse problems are ubiquitous in science and engineering, manifesting whenever we seek to determine the underlying causes or parameters that give rise to observed da [...]
2024-08 |
Statistics |
Dissertation |
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4.
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The virulence of infectious diseases is usually affected by a combination of a host and at least one pathogen organism. Previous experiments have revealed that combining [...]
2024-08 |
Statistics |
Dissertation |
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5.
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Understanding the genesis of shared trial-to-trial variability in neuronal population activity within the sensory cortex is critical to uncovering the biological basis of [...]
03 July 2024 |
Neurobiology; Statistics |
Article |
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6.
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Recent advancements in single-cell RNA sequencing (scRNA-seq) have revolutionized transcriptomic research by enabling the study of gene expression at unprecedented resolu [...]
2024-08 |
Statistics |
Dissertation |
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7.
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In genetic association analysis of complex traits, detection of interaction (either GxG or GxE) can help to elucidate the genetic architecture and biological mechanisms u [...]
2024-08 |
Statistics |
Dissertation |
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8.
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High-dimensional statistics focuses on data whose ambient dimension is extremely large relative to the number of data points. In such regimes, classical asymptotic theory [...]
2024-08 |
Statistics |
Dissertation |
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9.
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Change point analysis has emerged as a critical area of research in Statistics over the past seven decades, with applications spanning various domains, including Physics, [...]
2024-06 |
Statistics |
Dissertation |
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10.
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Statistical inference plays a crucial role in realizing large-scale intelligent systems that can learn safely and efficiently. This thesis presents two interesting yet ch [...]
2024-06 |
Statistics |
Dissertation |
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11.
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This thesis focuses on two pivotal subjects within the domain of Computer Vision: object detection and panoptic segmentation. Fueled by deep neural networks, substantial [...]
2024-06 |
Statistics |
Dissertation |
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12.
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Matrix factorization methods are widely used to uncover hidden structures within data represented by matrices. The choice of method depends on the desired data representa [...]
2024-08 |
Statistics |
Dissertation |
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13.
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The relative orientation (twist) of successive layers of stacked two-dimensional (2D) materials creates variations in the interlayer atomic registry. The variations often [...]
29 July 2020 |
Statistics |
Article |
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14.
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Methods and systems for computationally processing data with a multi-layer convolutional neural network (CNN) having an input and output layer, and one or more intermedia [...]
19 March 2024 |
Computer Science; Statistics |
Patent |
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15.
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We develop a theoretical framework for S n-equivariant convolutional quantum circuits with SU(d) symmetry, building on and significantly generalizing Jordan's p [...]
15 May 2023 |
Computer Science; Kadanoff Center for Theoretical Physics; Statistics |
Article |
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16.
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As experiments continue to increase in size and scope, a fundamental challenge of subsequent analyses is to recast the wealth of information into an intuitive and readily [...]
04 April 2023 |
Statistics |
Article |
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17.
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Attractor networks are an influential theory for memory storage in brain systems. This theory has recently been challenged by the observation of strong temporal variabili [...]
27 January 2023 |
Neurobiology; Statistics |
Article |
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18.
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How neuronal variability affects sensory coding is a central question in systems neuroscience, often with complex and model-dependent answers. Many studies explore popula [...]
01 June 2022 |
Neurobiology; Statistics |
Article |
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19.
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In this paper, we consider a wide class of time-varying multivariate causal processes that nests many classical and new examples as special cases. We first show the exist [...]
22 January 2024 |
Statistics |
Article |
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20.
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Many methods have been developed to leverage expression quantitative trait loci (eQTL) data to nominate candidate genes from genome-wide association studies. These method [...]
26 January 2024 |
Human Genetics; Statistics |
Article |
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21.
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Cancer evolves through the accumulation of mutations, but the order in which mutations occur is poorly understood. Inference of a temporal ordering on the level of gen [...]
01 November 2011 |
Statistics |
Article |
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22.
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DNA methyltransferases establish methylation patterns in cells and transmit these patterns over cell generations, thereby influencing each cell's epigenetic states. Th [...]
19 March 2012 |
Human Genetics; Statistics |
Article |
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23.
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Although triple negative breast cancers (TNBC) are the most aggressive subtype of breast cancer, they currently lack targeted therapies. Because this classification st [...]
11 December 2013 |
Ben May Department for Cancer Research; Ecology and Evolution; Molecular Genetics and Cell Biology; Statistics |
Article |
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24.
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We consider the statistical analysis of population structure using genetic data. We show how the two most widely used approaches to modeling population structure, admi [...]
16 September 2010 |
Computer Science; Human Genetics; Statistics |
Article |
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25.
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Principal components analysis has been used for decades to summarize genetic variation across geographic regions and to infer population migration history. More recent [...]
01 December 2009 |
Computer Science; Human Genetics; Radiology; Statistics |
Article |
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