Results 141 to 150 of about 523,896 (324)

Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan

Rice
Genomic prediction is a promising strategy for enhancing crop breeding efficiency. Historical data of breeding and cultivation tests from geographically wide regions presumably contain rich information for training genomic prediction models.
Shoji Taniguchi, Takeshi Hayashi, Hiroshi Nakagawa, Kei Matsushita, Hiromi Kajiya-Kanegae, Jun-Ichi Yonemaru, Akitoshi Goto   +6 more
doaj   +1 more source

An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers

Poultry Science
Machine learning (ML) methods have rapidly developed in various theoretical and practical research areas, including predicting genomic breeding values for large livestock animals.
Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang   +6 more
doaj   +1 more source

Targeting of PTP4A3 overexpression sensitises HGSOC cells towards chemotherapeutic drugs

Molecular Oncology, EarlyView.
In HGSOC with normal KRAS expression, high PTP4A3 expression regulates autophagy activation. Conversely, in HGSOC with high KRAS expression, KRAS dictates autophagy control, and PTP4A3 is not required. When high PTP4A3 expression is inhibited, HGSOC cells are preferentially sensitised towards DNA‐damaging agents.
Ana López‐Garza, David James, Emma Creagh, James T. Murray   +3 more
wiley   +1 more source

Ab initio protein structure prediction on a genomic scale: Application to the Mycoplasma genitalium genome [PDF]

, 2002
Daisuke Kihara, Yang Zhang, Hui Lü, Andrzej Koliński, Jeffrey Skolnick   +4 more
openalex   +1 more source

RKIP overexpression reduces lung adenocarcinoma aggressiveness and sensitizes cells to EGFR‐targeted therapies

Molecular Oncology, EarlyView.
RKIP, a metastasis suppressor protein, modulates key oncogenic pathways in lung adenocarcinoma. In silico analyses linked low RKIP expression to poor survival. Functional studies revealed RKIP overexpression reduces tumor aggressiveness and enhances sensitivity to EGFR‐targeted therapies, while its loss promotes resistance.
Ana Raquel‐Cunha, Joana Pinheiro, Rui F. Marques, Patrícia Fontão, Diana Cardoso‐Carneiro, Adriana Mendes, Izabela N. F. Gomes, Ana Carolina Laus, Renato J. da Silva‐Oliveira, Rui Manuel Reis, Olga Martinho   +10 more
wiley   +1 more source

Prediction of Glycosylphosphatidylinositol-Anchored Proteins in Arabidopsis. A Genomic Analysis [PDF]

, 2002
Georg H. H. Borner, D. Janine Sherrier, Tim J. Stevens, Isaiah T. Arkin, Paul Dupree   +4 more
openalex   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 more
wiley   +1 more source

Ab-initio prediction and reliability of protein structural genomics by PROPAINOR algorithm [PDF]

, 2003
Rajani R. Joshi, S. Jyothi
openalex   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Improving multi-trait genomic prediction by incorporating local genetic correlations

Communications Biology
Genomic prediction holds significant potential for advancing precision medicine in humans, as well as accelerating genetic improvement in animals and plants.
Jun Teng, Tingting Zhai, Xinyi Zhang, Changheng Zhao, Wenwen Wang, Hui Tang, Chao Ning, Yingli Shang, Dan Wang, Qin Zhang   +9 more
doaj   +1 more source