Results 111 to 120 of about 10,369,018 (353)

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Correlation Between Depression-Associated Genes and Cancer Types: Predicting Cancer Based on Mutation Frequencies

IEEE Access
This study examines the potential interconnection between genetic mutations frequently observed in various types of cancer and depression, aiming to elucidate shared genetic factors that may influence the etiology and treatment of both conditions ...
Fernando Patricio Carranco-Avila, Clayanela Zambrano-Caicedo, Jonathan Javier Loor-Duque, Ariana Deyaneira Jimenez-Narvaez, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Isidro Rafael Amaro Martin, Manuel Eugenio Morocho-Cayamcela   +7 more
doaj   +1 more source

Survey on deep learning with class imbalance

Journal of Big Data, 2019
The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective classification with imbalanced data is an important area of research, as high class imbalance is naturally inherent in many real ...
Justin M. Johnson, T. Khoshgoftaar
semanticscholar   +1 more source

Molecular determinants of signal transduction in tropomyosin receptor kinases

FEBS Open Bio, EarlyView.
Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley   +1 more source

A Classifier Based on K-Nearest Neighbors Using Weighted Summation of Reconstruction Errors [PDF]

مجله مدل سازی در مهندسی
In this paper, a classifier is introduced based on the nearest neighbor classifier and the reconstruction error for data classification. In the proposed method, first, K nearest data points (neighbors) from each category in the training data are ...
Rassoul Hajizadeh, Mohammad Ali Hosseinzadeh   +1 more
doaj   +1 more source

Impact of a senior research thesis on students' perceptions of scientific inquiry in distinct student populations

FEBS Open Bio, EarlyView.
This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart, Haley L. Zubyk, Michelle Ogrodnik, Caitlin E. Mullarkey, Felicia Vulcu   +4 more
wiley   +1 more source

Experimental observation on the seismic performance of reinforced concrete columns with a well-confined plastic hinge region

Scientific Reports
Seismic performance evaluation was conducted on eight circular reinforced concrete columns. Key design parameters for the columns included the number of longitudinal reinforcements, yield strength of reinforcements, vertical spacing of spirals, aspect ...
Do Hyung Lee, Sanh N. Tra, Dong Joo Kim, Kihak Lee   +3 more
doaj   +1 more source

Deep Residual Reinforcement Learning

, 2020
We revisit residual algorithms in both model-free and model-based reinforcement learning settings. We propose the bidirectional target network technique to stabilize residual algorithms, yielding a residual version of DDPG that significantly outperforms ...
Boehmer, Wendelin, Whiteson, Shimon, Zhang, Shangtong   +2 more
core  

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations [PDF]

, 2020
Zhi Huang, Travis S. Johnson, Zhi Han, Bryan R. Helm, Sha Cao, Chi Zhang, Paul Salama, Maher Rizkalla, Christina Y. Yu, Jun Cheng, Shunian Xiang, Xiaohui Zhan, Jie Zhang, Kun Huang   +13 more
openalex   +1 more source