Results 151 to 160 of about 3,213,365 (353)
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
Staphylococci in high resolution: Capturing diversity within the human nasal microbiota
Summary: Staphylococci include both nasal commensals and opportunistic pathogens, globally responsible for a large proportion of infection-related deaths, especially in S. aureus carriers.
Anna Cäcilia Ingham +21 more
doaj +1 more source
Determination of the endpoints of partial deletion mutants of the attachment site of bacteriophage lambda by DNA sequencing [PDF]
R. Wayne Davies +2 more
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
For any integer \(k\geq 2\) let \(p_k\) be a polynomial defined by \(p_k(X)= (X+1)^k -X^k-1\). It is easy to see that \(p_k\) is divisible by \(X\), \(X(X+1)\), \(X(X^2 +X+1)\) and \(X(X+1)\) \((X^2+ X+1)^2\) if \(k\) is even, \(k\equiv 3\pmod 6\), \(k\equiv 5\pmod 6\) and \(k\equiv 1 \pmod 6\), respectively.
openaire +3 more sources
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
Algorithm 66. An algorithm for solving the machine sequencing problem with parallel machines [PDF]
A. Adrabiński, M. Wodecki
openalex +1 more source
Sequencing Lung Cancer’s Sequence [PDF]
Charles A. Powell, Hideo Watanabe
openaire +2 more sources
mir‐196a promotes Esophagus Adenocarcinoma aggressiveness. On one hand, mir‐196a targets the valosin‐containing protein (VCP) mRNA, causing the accumulation of c‐MYC protein that leads to high amounts of TERT. On the other hand, mir‐196a targets the inhibitor of NFκB (NFKBIA).
Jesús García‐Castillo +8 more
wiley +1 more source

