Results 191 to 200 of about 303,207 (215)

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

An Interpretable Omics-to-Image Transformer Framework for Cancer Prognosis Prediction. [PDF]

Comput Struct Biotechnol J
Jiang Y, Sun W, Lan T, Wu Y, Pan C, Tang H, Chai H.   +6 more
europepmc   +1 more source

Single‐Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO Dynamics

Advanced Science, EarlyView.
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du, Yinming Li, Ziyue Li, Yuedan Wang, Shaopeng Li, Yijie Wang, Yingying Qu, Bingyang Lv, Ying Li, Ting Chen, Yu Zhou, Xuan Xiao   +11 more
wiley   +1 more source

Extracellular Vesicles in Human Reproduction: Integrating Redox-Mitochondrial Signaling with Multi-Omics and AI-Driven Biomarker Discovery. [PDF]

Cells
Stavros S, Gerede A, Moustakli E, Zikopoulos A, Tsakiridis I, Messini C, Potiris A, Anagnostaki I, Arkoulis I, Topis S, Dagklis T, Loutradis D.   +11 more
europepmc   +1 more source

Imaging‐Guided Live Single‐Cell Lipid Profiling of Leader and Follower Cellsduring Collective Migration of Triple‐Negative Breast Cancer Cells

Advanced Science, EarlyView.
Integrated single‐cell mass spectrometry reveals distinct lipidomic signatures that differentiate leader and follower phenotypes in migratory breast cancer cells. Phenotype‐specific alterations across various lipid classes, including fatty acids and phosphatidylcholines, underpin functional heterogeneity.
Xiaoyue Huang, Judit González Riera, Mai Nguyen, Jeremy Broekhuis, Sylvia E. Le Dévédec, Ahmed Ali, Thomas Hankemeier   +6 more
wiley   +1 more source

GAMMI: graph-guided contrastive and adversarial integration of single-cell and spatial multi-omics data. [PDF]

Brief Bioinform
Yu Y, Long M, Song J, Cao K, Luo M, Liu W, Rong Z, Hou Y.   +7 more
europepmc   +1 more source

Multi-Dimensional Transcriptomics Reveals the Prominent Role of Neuroinflammation in Alzheimer's Disease. [PDF]

Int J Mol Sci
Wang X, Rong Z, Xue F.
europepmc   +1 more source

GCOA-Net: a graph-regularized cross-omics attention network for interpretable breast cancer molecular subtype classification. [PDF]

Front Med (Lausanne)
Li C, Zhang Z, Zhang C.
europepmc   +1 more source