Results 161 to 170 of about 6,815,566 (351)

Developing muscarinic receptor M1 classification models utilizing transfer learning and generative AI techniques

Scientific Reports
Muscarinic receptor subtype 1 (M1) is a G protein-coupled receptor (GPCR) and a key pharmacological target for peripheral neuropathy, chronic obstructive pulmonary disease, nerve agent exposures, and cognitive disorders.
Souvik Dey, Anders Wallqvist, Mohamed Diwan M. AbdulHameed   +2 more
doaj   +1 more source

A cost effective communication model for requirements elicitation in global software development. [PDF]

Sci Rep, 2023
Rauf MA, Bibi S, Ali S, AlSaedi T, Ur Rehman S, Mahmood K, Kundi M.   +6 more
europepmc   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Contemporary software development environments [PDF]

, 1981
William E. Howden, Paul Cohen, A. P. Irvine, James King, Patricia B Powell, William E. Riddle, Leon G. Stucki, Leonard L. Tripp   +7 more
openalex   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

Streamlining and standardizing software citations with The Software Citation Station [PDF]

arXiv
Software is crucial for the advancement of astronomy especially in the context of rapidly growing datasets that increasingly require algorithm and pipeline development to process the data and produce results. However, software has not always been consistently cited, despite its importance to strengthen support for software development.
arxiv  

Prioritizing tasks in software development: A systematic literature review. [PDF]

PLoS One, 2023
Bugayenko Y, Bakare A, Cheverda A, Farina M, Kruglov A, Plaksin Y, Pedrycz W, Succi G.   +7 more
europepmc   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Managers Handbook for Software Development [PDF]

Methods and aids for the management of software development projects are presented. The recommendations are based on analyses and experiences with flight dynamics software development.
Agresti, W., Card, D., Church, V., Mcgarry, F., Page, J., Werking, R.   +5 more
core   +1 more source

Rule-based modelling of the software development process [PDF]

, 1988
Gail E. Kaiser
openalex   +1 more source