Results 261 to 270 of about 406,461 (313)

Efficient discovery of frequently co-occurring mutations in a sequence database with matrix factorization. [PDF]

PLoS Comput Biol
Kolar MR, Kobzarenko V, Mitra D.
europepmc   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships. [PDF]

BMC Med Inform Decis Mak
Liu S, Hu W, Wang CC, Zhuo L, Lu X.
europepmc   +1 more source

Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation

Molecular Oncology, EarlyView.
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides, Sara Cristobal‐Vargas, Cristina De Ramón, Elizabeta A. Rojas, Irena Misiewicz‐Krzeminska, Isabel Isidro, José Juan Pérez, Bruno Paiva, Noemi Puig, Miguel Alcoceba, María‐Victoria Mateos, Luis A. Corchete, Myriam Cuadrado, Norma C. Gutiérrez   +13 more
wiley   +1 more source

MiMeJF: Application of Coupled Matrix and Tensor Factorization (CMTF) for Enhanced Microbiome-Metabolome Multi-Omic Analysis. [PDF]

Metabolites
Ou Z, Fu X, Norbäck D, Lin R, Wen J, Sun Y.   +5 more
europepmc   +1 more source

THE METHOD OF ODD/EVEN REDUCTION AND FACTORIZATION WITH APPLICATION TO POISSON'S EQUATION.

, 1969
B.L. Buzbee, Gennadii Golub, C. W. Nielson   +2 more
openalex   +2 more sources

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction. [PDF]

PeerJ Comput Sci
Fu S, Li J, Wang L.
europepmc   +1 more source

β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1

Molecular Oncology, EarlyView.
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero, Alejandro Belmonte‐Fernández, Mónica González‐Moreno, Laura Rodríguez‐Cordero, Begoña Pérez‐Valderrama, Joaquín Herrero‐Ruíz, Francisco Romero, Carmen Sáez, Miguel Á. Japón   +8 more
wiley   +1 more source

CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction. [PDF]

BMC Bioinformatics
Tang X, Hou Y, Meng Y, Wang Z, Lu C, Lv J, Hu X, Xu J, Yang J.   +8 more
europepmc   +1 more source