Results 181 to 190 of about 6,446,441 (278)

A Practical Machine Learning Model for Predicting Neoadjuvant Response in HER2-Positive Breast Cancer. [PDF]

Diagnostics (Basel)
Azmat M, Graña-López L, Fernández-Delgado M, Cernadas E, Maneiro M, Núñez C.   +5 more
europepmc   +1 more source

Impact of Single‐Cell RNA Reference Selection for the Deconvolution of Breast Cancer Spatial Transcriptomics Datasets

International Journal of Cancer, EarlyView.
ABSTRACT Spot‐based spatial transcriptomics (ST) allows for unbiased gene expression analysis within tissue architecture, overcoming the limitations of single‐cell RNA sequencing (scRNA‐seq) by preserving spatial context. However, the high spatial resolution in ST leads to cellular heterogeneity within spots, requiring computational deconvolution to ...
Stefan Altendorfer, Scott J. Walker, Carsten O. Daub   +2 more
wiley   +1 more source

A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice. [PDF]

Plant Genome
Hu X, Xian L, Cao G, Liu S, Wang D, Che Y, Huang W, Lin Y, He L.   +8 more
europepmc   +1 more source

Epigenetic Predictors of Smoking: External Validation and Association With Smoking‐Related Cancer Risk

International Journal of Cancer, EarlyView.
ABSTRACT Tobacco smoking has a strong influence on DNA methylation (DNAm), enabling the development of DNAm‐based smoking predictors, yet external evaluations of these have remained limited. We aimed to assess six DNAm‐based smoking predictors in a large sample of middle‐aged and older Australians for (i) their accuracy and reliability, and (ii) their ...
Xiaoyu Fan, Danmeng Lily Li, Allison M. Hodge, Julie K. Bassett, Nina Afshar, Melissa C. Southey, Graham G. Giles, Roger L. Milne, Pierre‐Antoine Dugué   +8 more
wiley   +1 more source

Transition from Conventional to Genomic Selection (ssGBLUP) led to improve in accuracy gains and selection decisions in Sahiwal Cattle. [PDF]

Sci Rep
Vohra V, Gaur P, Sahana VN, Diwakar V, Patil A, Alex R, Gowane GR, Raja TV.   +7 more
europepmc   +1 more source

Institutional Diversity in Banking and Economic Complexity

International Journal of Finance &Economics, EarlyView.
ABSTRACT In this paper, we test whether institutional diversity in banking systems is beneficial to economic complexity, using data for Italian provinces in the period 1998–2017. We compute different indexes that consider diversity from an ownership, institutional, business model and competition point of view and find that higher diversity has a ...
Beniamino Pisicoli
wiley   +1 more source

Managerial Power, Overconfidence, and Obfuscation in the Chairperson Statement: Evidence From the Indian Banking System

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study explores the relationship between managerial power, overconfidence, and obfuscation in the Chairpersons' statements of Indian banks over the period 2009–2022. We hand collect Chairperson statements of public and private Indian banks and implement linguistic analysis techniques to identify the presence of obfuscation.
John Pereira, Vaibhavi Nilesh Dalvi, Irma Malafronte   +2 more
wiley   +1 more source

Enhancing genomic prediction for key production traits in chickens through ultrasound phenotyping and multi-model comparative analysis. [PDF]

J Anim Sci Biotechnol
Zhu R, Jiang Y, Xiong W, Zhang Y, Lian Z, Gou D, Li Z, Wang X, Deng X.   +8 more
europepmc   +1 more source

Multi‐omics–driven precision medicine

iMeta, EarlyView.
Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li, Zhe Zhao, Yifan Zhang, Yao Ma, Gaofei Hu, Min Zeng, Zhanqun Yang, Zixuan Zhao, Xin Zhou, Wei Hu, Yuxuan Sun, Meng Su, Jun Li, Matthew Whiteman, Wei Fu, Chao Zhong, Lemin Zheng, Long Chen, Hairong Lv, Rongsheng Zhao, Yi Zhun Zhu   +20 more
wiley   +1 more source

Deciphering transcriptome complexity via long‐read sequencing

iMeta, EarlyView.
Long‐read sequencing is transforming transcriptomics from gene‐level quantification to isoform‐resolved interpretation by directly resolving full‐length transcript structures, transcription in repetitive regions, and linked molecular features. This review provides an end‐to‐end roadmap covering sequencing platforms, library preparation strategies ...
Chuwen Xu, Jia Li, Chenxi Yin, Keying Li, Tian Wang, Shiwen Gao, Yue Yu, Cheng Chang, Ye Wang, Guoqing Tong, Liang Gong, Wen Hu, Guoliang Chai, Yilai Han, Qian Qin, Suoqin Jin, Xiufen Zou, Bo Li, Tianyuan Zhang, Ana Conesa, Yunhao Wang, Dingjie Wang   +21 more
wiley   +1 more source