Results 51 to 60 of about 43,162 (235)

Identifying Cytokine Motif‐Containing, Immunomodulatory Bacterial Proteins in Human Gut Microbiome

Advanced Science, EarlyView.
By building and constructing HMM (Upper left, blue), the authors identify CMCPs in bacteria genomes and CRC related metagenomes and enriched CRC‐related CMCPs (Upper right, blue). They analyze sequence and structural similarity of hits (Lower left, green), test function with engineered EcN delivered to tumors in a mouse tumor model (Lower right, pink ...
Ziyu Wang, Siqi Guo, Jing Li, Qianqian Huang, Jing Ning, Binbin Xia, Xun Lv, Xiang Liu, Zeyu Gao, Jine Li, Longchao Liu, Moshi Song, Jun Wang   +12 more
wiley   +1 more source

Application of clustering in statistical analysis of music data

Lietuvos Matematikos Rinkinys, 2012
In this article author analyses musical works of Lithuanian compositors using statistical methods. Markov chains are used to describe compositions. Stationary distributions are used as feature vectors for clustering. A few interpretations of clusters are
Mindaugas Kavaliauskas
doaj   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

PSO-Markov residual correction method based on Verhulst-Fourier prediction model

Systems Science & Control Engineering, 2021
Macroeconomic predicting is a research hotspot in the field of predicting. The accuracy of predicting often directly affects the rationality of decision-making, especially for defense expenditure predicting.
Tong Niu, Lin Zhang, Bo Zhang, Bo Li, Baoshan Zhang, Wenfeng Wang   +5 more
doaj   +1 more source

Analyzing movement trajectories using a Markov bi-clustering method [PDF]

Journal of Computational Neuroscience, 2009
In this study we treat scribbling motion as a compositional system in which a limited set of elementary strokes are capable of concatenating amongst themselves in an endless number of combinations, thus producing an unlimited repertoire of complex constructs.
Keren, Erez, Jacob, Goldberger, Ronen, Sosnik, Moshe, Shemesh, Susan, Rothstein, Moshe, Abeles   +5 more
openaire   +2 more sources

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

Integrative Analyses Identify a cGAS‐STING Pathway‐Driven Signature With Context‐Dependent Roles in Systemic Lupus Erythematosus

Advanced Science, EarlyView.
Zhang et al. identify M7core, a critical cGAS‐STING pathway‐driven gene signature that is activated in most lupus patients’ blood and links to lupus disease severity, lymphopenia, and lupus nephritis. They further reveal the diagnostic and pathogenic characteristics of M7core and emphasize the importance of assessing pathway activity before initiating ...
Lele Zhang, Ming‐Ju Amy Lyu, Ze Hong, Jing Sun, Lan Guo, Jiameng Hu, Munire Maimaiti, Chenhui Li, Jinyi Song, Xiang Zhang, Huansha Yu, Chen Wang, Xuan Wang, Haiyang Hu   +13 more
wiley   +1 more source

HMMGEP: clustering gene expression data using hidden Markov models [PDF]

Bioinformatics, 2004
Abstract Summary: The package HMMGEP performs cluster analysis on gene expression data using hidden Markov models. Availability: HMMGEP, including the source code, documentation and sample data files, is available at http://www.bioinfo.tsinghua.edu.cn:8080/~rich/hmmgep_download/index.html.
Xinglai, Ji, Yuan, Yuan, Jesse, Li-Ling, Yanda, Li, Zhirong, Sun   +4 more
openaire   +2 more sources

Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling

Advanced Science, EarlyView.
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang, Cibo Feng, Haibin Su, Xiakun Chu   +3 more
wiley   +1 more source

Markov-Embedded Affinity Learning with Connectivity Constraints for Subspace Clustering

Applied Sciences
Subspace clustering algorithms have demonstrated remarkable success across diverse fields, including object segmentation, gene clustering, and recommendation systems.
Wenjiang Shao, Xiaowei Zhang
doaj   +1 more source