Results 201 to 210 of about 8,919,237 (294)

Revisiting community engagement methods in the context of data science research and big data use in South Africa

South African Journal of Science, 2023
Gonasagrie Nair, Theresa L. Burgess, Adetayo E. Obasa, Sharon Kling, Shenuka Singh   +4 more
doaj   +1 more source

Detection rate for ESR1 mutations is higher in circulating‐tumor‐cell‐derived genomic DNA than in paired plasma cell‐free DNA samples as revealed by ddPCR

Molecular Oncology, EarlyView.
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou, Aliki Ntzifa, Victoria Tserpeli, Ioanna Balgkouranidou, Alkistis Papatheodoridi, Evangelia Razis, Helena Linardou, Christos Papadimitriou, Amanda Psyrri, Flora Zagouri, Stylianos Kakolyris, Evi Lianidou   +11 more
wiley   +1 more source

Report of the Committee on Sensory Data to the Journal Management Committee of the American Dairy Science Association

, 1986
Earl G. Hammond, Walter L. Dunkley, F. W. Bodyfelt, Elizabeth Larmond, R. Bruce Lindsay   +4 more
openalex   +1 more source

Geomatic Methods for the Analysis of Data in the Earth Sciences: Lecture Notes in Earth Sciences, Vol. 95 [PDF]

, 2001
Nikolaos K. Pavlis
openalex   +1 more source

Robust acute myeloid leukemia engraftment in humanized scaffolds using injectable biomaterials and intravenous xenotransplantation

Molecular Oncology, EarlyView.
Patient‐derived xenografts (PDXs) can be improved by implantation of a humanized niche. We tested different biomaterials and approaches, and demonstrate that the combination of an injectable biomaterial for scaffold creation plus an intravenous route for acute myeloid leukemia (AML) xenotransplantation provide the most convenient and robust approach to
Daniel Busa, Zdenka Herudkova, Jan Hyl, Jakub Vlazny, Filip Sokol, Kvetoslava Matulova, Adam Folta, Jakub Hynst, Lucy Vojtova, Leos Kren, Martin Repko, Zdenek Racil, Jiri Mayer, Martin Culen   +13 more
wiley   +1 more source

Separations Science Data Base: an abstractor's manual

, 1981
Jack W. Roddy, W.J. McDowell, Donna C. Michelson   +2 more
openalex   +2 more sources

The Future of Data Science [PDF]

Harvard Data Science Review, 2020
Mukherjee, Sach, Richardson, Sylvia
openaire   +4 more sources

Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer

Molecular Oncology, EarlyView.
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu, Fenglin Shen, Yang Liu, Ziqing Zhong, Yongling Chen, Zhiyuan Xia, Cuiju Mo, Hongxiu Yu   +7 more
wiley   +1 more source

Activity levels of Australians, June/July, 1985: User's guide for the machine-readable data file [PDF]

, 2022
Social Science Data Archives
core  

KMT2A degradation is observed in decitabine‐responsive acute lymphoblastic leukemia cells

Molecular Oncology, EarlyView.
We demonstrate that decitabine (DEC) not only degrades the DNA methyltransferase DNMT1 but also the leukemic driver lysine methyltransferase KMT2A likely due to structural similarity of the DNA‐binding CXXC domains. DEC influences KMT2A downstream processes and synergizes with menin inhibitor revumenib (REV) to decrease leukemic cell proliferation, and
Luisa Brock, Lina Benzien, Sandra Lange, Maja Huehns, Alexandra Runge, Catrin Roolf, Anett Sekora, Gudrun Knuebel, Hugo Murua Escobar, Christian Junghanss, Anna Richter   +10 more
wiley   +1 more source