Results 171 to 180 of about 1,840,126 (315)
More on the Relations among Categorization, Merge and Labeling, and Their Nature
Koji Hoshi
doaj +1 more source
The co-evolution of people, plants, and parasites: biological and cultural adaptations to malaria [PDF]
Nina L. Etkin
openalex +1 more source
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez +17 more
wiley +1 more source
Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla +5 more
wiley +1 more source
Selective advantage of topological disorder in biological evolution [PDF]
M. Kol�, František Slanina
openalex +1 more source
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source
Transition Processes in Technological Systems: Inspiration from Processes in Biological Evolution. [PDF]
Möller M +3 more
europepmc +1 more source
How and why kinetics, thermodynamics, and chemistry induce the logic of biological evolution. [PDF]
Pross A, Pascal R.
europepmc +1 more source
Stepwise evolution of molecular biological coding [PDF]
Peter R. Wills
openalex +1 more source
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 +8 more
wiley +1 more source

