Results 151 to 160 of about 2,713,068 (267)
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
On a generalization of the Rogers generating function. [PDF]
Cohl HS, Costas-Santos RS, Wakhare TV.
europepmc +1 more source
Convergence and Extended Linear Generating Function for Generalized Hypergeometric Function
N. Srimannarayana +2 more
openalex +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
Generating design proposals with APL graphic functions [PDF]
John W. Wade
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
The generating function approach for Peptide identification in spectral networks. [PDF]
Guthals A, Boucher C, Bandeira N.
europepmc +1 more source
Maximal ideals in the ring of regulous functions are not finitely\n generated [PDF]
Aleksander Czarnecki
openalex +1 more source
Partial sums of Horadam sequences: sum-free representations via generating functions [PDF]
Helmut Prodinger
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

