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However, it is common to “binarize” the read counts such that xij=1 when at least one fragment in cell i maps to region j and xij=0 otherwise. Using the topic model to analyze (binarized) single-cell ATAC-seq data was first suggested by [49]. Therefore, they implicitly assumed a ...
For single-cell ATAC-seq data, the observations \(x_{ij}\) denote the number of reads mapping to region j in cell i. However, it is common to “binarize” the read counts such that \(x_{ij} = 1\) when at least one fragment in cell i maps to region j and \(x_{ij} = 0...
The burgeoning prevalence of food allergy-related diseases is closely associated with geographical allergen distribution and societal lifestyle paradigms. This study aims to shed light on the distribution patterns of specific IgE (sIgE) and total IgE (tIgE) reactivity to common food allergens in the ...
The resulting average maps (Fig. 1b–d insets) show that the three Dm3 types are aligned to the three cardinal orientations of the hexagonal lattice29 (p, q and v axes in Fig. 1f). Cell-to-cell variation is visible in the individual maps for single Dm3 cells (Fig. 1g and ...
M. et al. Oncogene alterations in carcinomas of the uterine cervix: overexpression of the epidermal growth factor receptor is associated with poor prognosis. Clin. Cancer Res. 5, 577–586 (1999). CAS PubMed Google Scholar Yao, M. et al. VHL tumor suppressor gene alterations associated ...
Interpreting Low-level Vision Models with Causal Effect Maps Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong Shenzhen Institute of Advanced Technology; Shanghai Artificial Intelligence Laboratory; Southern University of Science and Technology; The Chines...
Coarse-grained rules are widely used in chemistry, physics and engineering. In biology, however, such rules are less common and under-appreciated. This gap can be attributed to the difficulty in establishing general rules to encompass the immense diversi
Two scans of the MSSM with parameters defined at the weak scale, one with 7 and one with 9 free parameters, are used as show-case exam- ples to demonstrate the use of our method. Our results show that the SMS interpretation of the LHC results indeed pro- vide important constraints on ...
The mortality model is a many-to-many recurrent neural network f with trained parameters Θ that maps x1:T∈RN×T (dt-patient-matrix with T time points and N=398 features) to a T-length sequence of probabilities of mortality:(1)f(Θ;x1:T)=[y1,y2,…,yT]≡y1:T.At any single ...