Results 161 to 170 of about 29,435,030 (367)
On the Null-Distribution of the $F$-Statistic in a Randomized Balanced Incomplete Block Design Under the Neyman Model [PDF]
Junjiro Ogawa
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There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes+20 more
wiley +1 more source
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser+11 more
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A statistical decision model for sensory discrimination which predicts Weber’s law and other sensory laws: Some results of a computer simulation [PDF]
Michel Treisman
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Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu+11 more
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We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau+11 more
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AN EXPERIMENTAL EXAMINATION OF THE BUSH-MOSTELLER STATISTICAL MODEL FOR VERBAL LEARNING
Masaaki Yoshida
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Statistical Model for Strange Particle and Isobar Production in Proton-Antiproton Annihilation [PDF]
J. S. Kovacs
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Statistical modeling on coordinates
This paper is a first draft of the principle of statistical modelling on coordinates. Several causes —which would be long to detail—have led to this situation close to the deadline for submitting papers to CODAWORK’03. The main of them is the fast development of the approach along the last months, which let appear previous drafts as obsolete.
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