Results 21 to 30 of about 1,171,805 (264)
Scientific Reports, 2023 We developed a novel prediction model for recurrence and survival in patients with localized renal cell carcinoma (RCC) after surgery and a novel statistical method of machine learning (ML) to improve accuracy in predicting outcomes using a large Asian ...
Jung Kwon Kim +15 more
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Semantic Code Refactoring for Abstract Data Types
Proc. ACM Program. Lang.Modifications to the data representation of an abstract data type (ADT) can require significant semantic refactoring of the code. Motivated by this observation, this paper presents a new method to automate semantic code refactoring tasks.
Shankara Pailoor +2 more
semanticscholar +1 more source
Estimating uncertainties in the SBUV Version 8.6 merged profile ozone data set
, 2017 . The combined record of total and profile ozone measurements from the solar backscatter ultraviolet (SBUV) and SBUV/2 series of instruments, known as the SBUV Merged Ozone Data (MOD) product, constitutes the longest satellite-based ozone time series ...
S. Frith +3 more
semanticscholar +1 more source
CloudNet: Ground‐Based Cloud Classification With Deep Convolutional Neural Network
Geophysical Research Letters, 2018 Clouds have an enormous influence on the Earth's energy balance, climate, and weather. Cloud types have different cloud radiative effects, which is an essential indicator of the cloud effect on radiation.
Jinglin Zhang +3 more
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scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data
Genome Biology, 2019 scRNA-seq dataset integration occurs in different contexts, such as the identification of cell type-specific differences in gene expression across conditions or species, or batch effect correction. We present scAlign, an unsupervised deep learning method
Nelson Johansen, Gerald Quon
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Doppler radar rainfall prediction and gauge data
BMC Research Notes, 2020 Objective The data herein represents multiple gauge sets and multiple radar sites of like-type Doppler data sets combined to produce populations of ordered pairs.
Jesse W. Lansford +3 more
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BMC Medical Imaging, 2021 Background The molecular biomarkers of breast ductal carcinoma in situ (DCIS) have important guiding significance for individualized precision treatment.
Linyong Wu +8 more
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A data set on the distribution of Rotifera in Antarctica
Biogeographia – The Journal of Integrative Biogeography, 2019 Author(s): Garlasche, Giuseppe; Karimullah, Karimullah; Iakovenko, Nataliia; Velasco-Castrillon, Alejandro; Janko, Karel; Guidetti, Roberto; Rebecchi, Lorena; Cecchetto, Matteo; Schiaparelli, Stefano; Jersabek, Christian D.; De Smet, Willem H.; Fontaneto,
Giuseppe Garlasché +11 more
semanticscholar +1 more source
Putative biomarkers for predicting tumor sample purity based on gene expression data
BMC Genomics, 2019 Background Tumor purity is the percent of cancer cells present in a sample of tumor tissue. The non-cancerous cells (immune cells, fibroblasts, etc.) have an important role in tumor biology.
Yuanyuan Li +5 more
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Scientific Reports, 2022 The aim of this study is to characterize cell type-specific transcriptional signatures in non-alcoholic steatohepatitis (NASH) to improve our understanding of the disease.
Rikard G. Fred +11 more
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