Results 51 to 60 of about 64,895 (239)

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Gut microbiota–derived short‐chain fatty acids regulate group 3 innate lymphoid cells in HCC

Hepatology, EarlyView., 2022
Abstract Background and Aims Type 3 innate lymphoid cells (ILC3s) are essential for host defense against infection and tissue homeostasis. However, their role in the development of HCC has not been adequately confirmed. In this study, we investigated the immunomodulatory role of short‐chain fatty acids (SCFAs) derived from intestinal microbiota in ILC3
Chupeng Hu, Bingqing Xu, Xiaodong Wang, Wen‐Hua Wan, Jinying Lu, Deyuan Kong, Yu Jin, Wenhua You, Hua Sun, Xiaoxin Mu, Dongju Feng, Yun Chen   +11 more
wiley   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Poisson Latent Feature Calculus for Generalized Indian Buffet Processes [PDF]

, 2014
The purpose of this work is to describe a unified, and indeed simple, mechanism for non-parametric Bayesian analysis, construction and generative sampling of a large class of latent feature models which one can describe as generalized notions of Indian ...
Lancelot F. James, Lancelot F. James
core   +1 more source

Smart Sampling Capsule for Capture and Detection of Enteric Pathogens in the Small Intestine

Advanced Materials Technologies, EarlyView.
An ingestible smart sampling capsule for capturing asymptomatic enteric pathogens at their primary sites of interaction within the small intestine. This capability enables non‐invasive detection of early pathogen colonization within the gut environment prior to fecal shedding, providing a robust approach for pathogen surveillance and microbiome studies.
Akshay Krishnakumar, Devendra Sarnaik, Nicholas L. F. Gallina, Robyn R. McCain, Christa Crain, Arun K. Bhunia, Rahim Rahimi   +6 more
wiley   +1 more source

PATENTS, R&D AND LAG EFFECTS: EVIDENCE FROM FLEXIBLE METHODS FOR COUNT PANEL DATA ON MANUFACTURING FIRMS [PDF]

, 1998
Hausman, Hall and Griliches (1984) and Hall, Griliches and Hausman (1986) investigated whether there was a lag in the patent-R&D relationship for the U.S. manufacturing sector using 1970¿s data.
Chambers, D., Danson, C., Neely, D., Norreys, P., Preston, S., Quinn, F., Roper, M., Wark, J., Zepf, Matthew   +8 more
core   +1 more source

Discovery of a Potent and Selective TEAD Degrader with Durable Degradation Activity

Advanced Science, EarlyView.
KG‐FP‐003, a highly potent TEAD‐YAP PROTAC derived from the patented inhibitor is developed. It selectively degrades endogenous TEAD proteins in HiBiT systems without IMiD‐related off‐target effects. Screening across 867 cancer cell lines revealed broad and superior anti‐tumor activity, highlighting its therapeutic potential through targeted TEAD ...
Linhui Cao, Jing Yang, Yuhang Liu, Xiaotong Chen, Yufang Shi, Yunshuo Zhao, Yong Zhang, Jian Chen, Bowen Li, Wuqiang Wen, Lu Chen, Bo Peng, Lu Huang, Yanli Sun, Lixin Zhou, Matthew G Rees, Melissa M Ronan, Jennifer A Roth, Zhixiang Guo, Jing Xing, Guangya Zhu, Yazhou Wang, Baishan Jiang, Jing Lu, Kehao Zhao, Wenchao Lu   +25 more
wiley   +1 more source

CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics

Advanced Science, EarlyView.
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young, Jun Inamo, Zachary Caterer, Revanth Krishna, Fan Zhang   +4 more
wiley   +1 more source

Estudio de homogeneidad de la dispersión en diseño a una vía de clasificación para datos de proporciones y conteos

Revista Colombiana de Estadística, 2009
En el modelamiento de datos donde se evidencia la presencia de sobredispersión, usualmente se asume que para todos los efectos de tratamiento el parámetro de sobredispersión es común.
MARIO ALFONSO MORALES, LUIS ALBERTO LÓPEZ   +1 more
doaj  

NEAT1 Promotes Epileptogenesis in Tuberous Sclerosis Complex

Advanced Science, EarlyView.
The primary neurological manifestations of tuberous sclerosis complex (TSC) are intractable epilepsy and intellectual disability. NEAT1 is differentially expressed in TSC‐related epilepsy and influences neuronal excitability by regulating the PI3K/AKT/mTOR signaling pathway.
Suhui Kuang, Tinghong Liu, Zhirong Wei, Jinshan Xu, Jiayi Han, Jiaqi Wang, Feng Zhai, Yiran Tian, Shuli Liang   +8 more
wiley   +1 more source