Results 201 to 210 of about 323,621 (299)

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

Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hematologic diagnostics. [PDF]

Front Med (Lausanne)
Alwahaibi M, Alwahaibi N.
europepmc   +1 more source

Talkin’ Omics [PDF]

Disease Markers, 2001
openaire   +1 more source

Dysregulation of the PATZ1/CTCF Balance Silences ZBTB20 to Drive Melanoma Progression

Advanced Science, EarlyView.
This study uncovers a new oncogenic mechanism in melanoma. The transcription factor PATZ1 competes with the architectural protein CTCF for DNA binding, thereby disrupting a specific chromatin loop and silencing the tumor suppressor ZBTB20. This event unleashes the pro‐tumorigenic PMEPA1‐p38‐STAT1 signaling axis, promoting cancer progression.
Chaowei Deng, Shuang Cai, Chen Guo, Shaker Khan, Lefan Liu, Qiong Tian, Zhiyuan Ma, Jian Zhang, Lingyu Zhao   +8 more
wiley   +1 more source

Deep Learning-Enabled Multi-Omics Integration: A New Frontier in Precise Drug Target Discovery. [PDF]

Biology (Basel)
Ren Y, Bai H, Wang J, Yang Y, Wang Y.
europepmc   +1 more source

Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions

Advanced Science, EarlyView.
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang, Wenzhi Wang, Dongjiao Wang, Qibin Wu, Youxiong Que   +4 more
wiley   +1 more source

Toward next-generation machine learning and deep learning for spatial omics. [PDF]

Brief Bioinform
Zirem Y, Fournier I, Salzet M.
europepmc   +1 more source