Results 21 to 30 of about 3,923,016 (254)
Network enrichment analysis: extension of gene-set enrichment analysis to gene networks [PDF]
, 2012 Background Gene-set enrichment analyses (GEA or GSEA) are commonly used for biological characterization of an experimental gene-set. This is done by finding known functional categories, such as pathways or Gene Ontology terms, that are over-represented ...
Alexeyenko Andrey +7 more
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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
doaj +1 more source
A technical framework to describe occupant behavior for building energy simulations [PDF]
, 2020 Green buildings that fail to meet expected design performance criteria indicate that technology alone does not guarantee high performance. Human influences are quite often simplified and ignored in the design, construction, and operation of buildings ...
Hong, Tianzhen, Turner, William JN
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Automatic Meaning Discovery Using Google [PDF]
, 2006 We survey a new area of parameter-free similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extraction.
Cilibrasi, Rudi, Vitanyi, Paul M.B.
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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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Efficient Lock-free Binary Search Trees
, 2014 In this paper we present a novel algorithm for concurrent lock-free internal binary search trees (BST) and implement a Set abstract data type (ADT) based on that. We show that in the presented lock-free BST algorithm the amortized step complexity of each
Chatterjee, Bapi +2 more
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A class of abstract quasi-linear evolution equations of second order [PDF]
, 1999 In this paper we study the abstract quasi-linear evolution equation of second order formula here in a general banach space z. it is well-known that the abstract quasi-linear theory due to kato [10, 11] is widely applicable to quasi-linear partial ...
Tanaka, Naoki
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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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Analysis of interval‐grouped data in weed science: The binnednp Rcpp package [PDF]
, 2019 [Abstract] Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT).
Barreiro-Ures, Daniel +6 more
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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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