Results 121 to 130 of about 11,455,659 (340)
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
Orçamento participativo: uma abordagem na perspectiva da Ciência da Informação
Este trabalho objetiva destacar a importância do orçamento participativo como fonte de inclusão social na sociedade intensiva de informação, em conjunto com os postulados da Ciência da Informação.
Alex de Araujo Lopes, Isa Maria Freire
doaj
Prediction of Research Hotspots Based on LSTM: Taking Information Science as Example. [PDF]
Xiang F.
europepmc +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
Three coordinate systems for information science approaches [PDF]
Tosio Kitagawa
openalex +2 more sources
Symposium on information science. II. Progress in the organization of an international information center in phytovirology [PDF]
H. H. Thornberry
openalex +1 more source
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
Impacts of covid-19 pandemic in the Brazilian research scenario on misinformation: Analysis of publications from information science journals. [PDF]
de Assis SSD, Gerlin MNM.
europepmc +1 more source
The pan‐HDAC inhibitor belinostat increases the expression of the pro‐apoptotic proteins Bim, Puma, and Noxa and induces apoptosis in ovarian cancer cell lines and patient‐derived tumor organoids when used at high concentrations. Moreover, inhibiting the anti‐apoptotic proteins Bcl‐xL or Mcl‐1 sensitizes these preclinical models to the cytotoxic effect
Cécilia Thomine +10 more
wiley +1 more source
Expanding the Chemical Information Science gateway. [PDF]
Medina-Franco JL.
europepmc +1 more source

