Results 81 to 90 of about 1,302,695 (334)
Context Embedding Networks [PDF]
, 2018 Low dimensional embeddings that capture the main variations of interest in collections of data are important for many applications. One way to construct these embeddings is to acquire estimates of similarity from the crowd. However, similarity is a multi-
Kim, Kun Ho +2 more
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Molecular Oncology, EarlyView.Dual targeting of AKT and mTOR using MK2206 and RAD001 reduces tumor burden in an intracardiac colon cancer circulating tumor cell xenotransplantation model. Analysis of AKT isoform‐specific knockdowns in CTC‐MCC‐41 reveals differentially regulated proteins and phospho‐proteins by liquid chromatography coupled mass spectrometry. Circulating tumor cells
Daniel J. Smit +19 more
wiley +1 more source
Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms [PDF]
Machine Learning, 2009 We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as LLE (Roweis and Saul, 2000) and Isomap (Tenenbaum et al, 2000)). The measure also serves as a natural tool when choosing dimension-reduction parameters.
Yair Goldberg, Ya'acov Ritov
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Extended Factorization Machines for Sequential Recommendation
IEEE Access, 2020 Users' historical activities are usually contained in real-life sequential recommendation systems to predict their future behaviors. In this situation, traditional Factorization Machines (FMs) approaches may be not suitable.
Nuan Wen, Fang Zhang
doaj +1 more source
Molecular Oncology, EarlyView.Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu +11 more
wiley +1 more source
Semantics and Pragmatics, 2013 For over a decade, the interpretation of scalar expressions under embedding has been a much debated issue, with proposed accounts ranging from strictly pragmatic, on one end of the spectrum, to lexico-syntactic, on the other. There has been some confusion as to what exactly the controversy is about, and we argue that what is at stake is the division of
Geurts, B., Van Tiel, B.
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Molecular Oncology, EarlyView.This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani +14 more
wiley +1 more source
Intervals in Generalized Effect Algebras and their Sub-generalized Effect Algebras
Acta Polytechnica, 2013 We consider subsets G of a generalized effect algebra E with 0∈G and such that every interval [0, q]G = [0, q]E ∩ G of G (q ∈ G , q ≠ 0) is a sub-effect algebra of the effect algebra [0, q]E.
Zdenka Riečanová, Michal Zajac
doaj
Molecular Oncology, EarlyView.Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen +12 more
wiley +1 more source
An Optimal Skorokhod Embedding for Diffusions
, 2002 Given a Brownian motion $B_t$ and a general target law $\mu$ (not necessarily centered or even integrable) we show how to construct an embedding of $\mu$ in $B$.
Cox, A. M. G., Hobson, D. G.
core +2 more sources