- Tensor decomposition and applications
- Paleontology and Evolutionary Biology
- Sparse and Compressive Sensing Techniques
- Ichthyology and Marine Biology
- Advanced Neuroimaging Techniques and Applications
- Computational Physics and Python Applications
- Evolution and Paleontology Studies
- Advanced Fluorescence Microscopy Techniques
- Blind Source Separation Techniques
- Geological formations and processes
- Paleontology and Stratigraphy of Fossils
- Genetic Associations and Epidemiology
- Advanced Electron Microscopy Techniques and Applications
- Functional Brain Connectivity Studies
- Genetic and phenotypic traits in livestock
- Bone and Dental Protein Studies
- Tissue Engineering and Regenerative Medicine
- Subterranean biodiversity and taxonomy
- Solar and Space Plasma Dynamics
- Hymenoptera taxonomy and phylogeny
- Fossil Insects in Amber
- Gene expression and cancer classification
- Photosynthetic Processes and Mechanisms
- RNA modifications and cancer
- Coleoptera Taxonomy and Distribution
University of Wisconsin–Madison
2018-2025
Second Affiliated Hospital of Zhejiang University
2024
Weatherford College
2024
Xi'an Jiaotong University
2024
China University of Geosciences (Beijing)
2020-2023
Peking University
2012-2022
Stomatology Hospital
2021
China University of Geosciences
2020
University of California, Berkeley
2017-2019
University of Chicago
2014-2018
Significance Genome-wide association (GWA) mapping is a powerful tool for identification of genetic variants underlying complex traits. However, existing methods typically perform GWA within single species; allowing the description genomic landscape interspecies interactions are only beginning to be developed. Here, we present method simultaneously on two interacting species. We applied our approach Arabidopsis thaliana–Xanthomonas arboricola pathosystem and identified candidate genes...
The orientation of fluorophores can reveal crucial information about the structure and dynamics their associated subcellular organelles. Despite significant progress in super-resolution, fluorescence polarization microscopy remains limited to unique samples with relatively strong modulation not applicable weak signals due excessive background noise. Here we apply optical lock-in detection amplify super-resolution. This novel technique, termed super-resolution dipole mapping (OLID-SDOM),...
Samples from 450 homes with shallow private wells throughout the state of Wisconsin (USA) were collected and analyzed for 44 individual per- polyfluoroalkyl substances (PFAS), general water quality parameters, indicators human waste as well agricultural influence. At least one PFAS was detected in 71% study samples, 22 analytes or more samples. Levels PFOA and/or PFOS exceeded proposed Maximum Contaminant 4 ng/L, put forward by U.S. Environmental Protection Agency (EPA) March 2023, 17 two...
The advent of high-throughput sequencing technologies has led to an increasing availability large multi-tissue data sets which contain gene expression measurements across different tissues and individuals. In this setting, variation in levels arises due contributions specific genes, tissues, individuals, interactions thereof. Classical clustering methods are ill-suited explore these three-way struggle fully extract the insights into transcriptome complexity contained data. We propose a new...
Abstract High-order clustering aims to identify heterogeneous substructures in multiway datasets that arise commonly neuroimaging, genomics, social network studies, etc. The non-convex and discontinuous nature of this problem pose significant challenges both statistics computation. In paper, we propose a tensor block model the computationally efficient methods, high-order Lloyd algorithm (HLloyd), spectral (HSC), for clustering. convergence guarantees statistical optimality are established...
Studying the mechanisms underlying genotype-phenotype association is crucial in genetics. Gene expression studies have deepened our understanding of genotype → phenotype mechanisms. However, traditional quantitative trait loci (eQTL) methods often overlook critical role gene co-expression networks translating into phenotype. This gap highlights need for more powerful statistical to analyze network mechanism. Here, we develop a network-based method, called spectral analysis (snQTL), map...
A bacterium strain EMB capable of degrading microcystin-RR and microcystin-LR was isolated from heap algae in hudai town. Based on phylogenetic analysis the 16S rRNA gene sequence, is identified as a member Bacillus sp. Strain able to completely remove 2.99 mg/L MC-RR 2.15 MC-LR within 24 h. Further research points out that mlrA, microcystin-degrading detected Sphingomonas MJ-PV, also exists genome probably mediates microcystins degradtion.
We describe for the first time histology of an ornithuromorph bird from Lower Cretaceous Jehol Group, revealing bone structure one oldest members this derived clade.The newly discovered Sihedang locality Yixian Formation in northeastern China preserves dominated avifauna, with all collected birds referable to a single taxon, Iteravis huchzermeyeri.These specimens are preserved relatively greater degree three-dimensionality compared other localities.We sampled specimen order test hypothesis...
Rich tetrapod ichnofaunas, known for more than a decade, from the Huangyangquan Reservoir (Wuerhe District, Karamay City, Xinjiang) have been an abundant source of some largest Lower Cretaceous track collections China. They originate inland lacustrine clastic exposures 581–877 m thick Tugulu Group, variously divided into four formations and subgroups in northwestern margin Junggar Basin. The large assemblages occur layer/Subgroup II. Similarly-composed also at smaller Asphaltite site Upper...
We consider the problem of decomposing a higher-order tensor with binary entries. Such data problems arise frequently in applications such as neuroimaging, recommendation system, topic modeling, and sensor network localization. propose multilinear Bernoulli model, develop rank-constrained likelihood-based estimation method, obtain theoretical accuracy guarantees. In contrast to continuous-valued problems, exhibits an interesting phase transition phenomenon according signal-to-noise ratio....
We consider the problem of identifying multiway block structure from a large noisy tensor. Such problems arise frequently in applications such as genomics, recommendation system, topic modeling, and sensor network localization. propose tensor model, develop unified least-square estimation, obtain theoretical accuracy guarantees for clustering. The statistical convergence estimator is established, we show that associated clustering procedure achieves partition consistency. A sparse...
Protein interaction domain (PID) linear peptide motif interactions direct diverse cellular processes in a specific and coordinated fashion. PID specificity, or the selectivity derived from affinity preferences between possible PID-peptide pairs is basis of this ability. Here, we develop an integrated experimental computational cellulose conjugate microarray (CPCMA) based approach for high throughput analysis specificity that provides unprecedented quantitative resolution reproducibility. As...
Multiple sauropod-track-bearing horizons occur in the Middle Jurassic Shaqiaomu Formation, Chaya Group of Eastern Tibet. These add to report a previously described sauropod trackway, which is famous tourist attraction and became part folkloric legend. From an ichnological point view, multiple track-bearing levels are consistent with previous tracks, but allow for recognition nine other cumulative total ~88 tracks from eight recognisable trackways have been identified. range size (pes length)...
Tensor decompositions have rich applications in statistics and machine learning, developing efficient, accurate algorithms for the problem has received much attention recently. Here, we present a new method built on Kruskal's uniqueness theorem to decompose symmetric, nearly orthogonally decomposable tensors. Unlike classical higher-order singular value decomposition which unfolds tensor along single mode, consider unfoldings two modes use rank-1 constraints characterize underlying...
It has long been known that Lower Jurassic theropod track assemblages are dominated by tracks including Eubrontes and Grallator, from North America since the mid 19th century. was only comparatively recently it recognised these ichnogenera where also abundant in other regions China, making them important components of a global footprint assemblage zone. Moreover, another ichnogenus, Kayentapus, proved to be an component this zone America, Europe Asia. The newly reported...
Abstract The advent of next generation sequencing methods has led to an increasing availability large, multi-tissue datasets which contain gene expression measurements across different tissues and individuals. In this setting, variation in levels arises due contributions specific genes, tissues, individuals, interactions thereof. Classical clustering are illsuited explore these three-way interactions, struggle fully extract the insights into transcriptome complexity regulation contained...
We consider the problem of multiway clustering in presence unknown degree heterogeneity. Such data problems arise commonly applications such as recommendation system, neuroimaging, community detection, and hypergraph partitions social networks. The allowance heterogeneity provides great flexibility models, but extra complexity poses significant challenges both statistics computation. Here, we develop a degree-corrected tensor block model with estimation accuracy guarantees. present phase...
The dipole orientation of fluorophores could be resolved by fluorescence polarization microscopy (FPM), which in turn reveals structural specificity for the labeled organelles. Conventional FPM can detect only averaged anisotropy collected from dipoles within diffraction-limited volume. Super-resolution mapping (SDOM) method, applies sparse deconvolution and least square estimation to modulation data, achieves measurement a sub-diffraction focal area. However, during SDOM analysis, some...