Results 21 to 30 of about 1,260,387 (211)
A growing number of studies have focused on the microRNA (miRNA) expression in Bemisia tabaci, one devastating agricultural insect pest of the tropical and subtropical areas for which the primary means of control are insecticides. In studying the genetic
Qinghe Zhang+5 more
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In forest management, site index information is essential for planning silvicultural operations and forecasting forest development. Site index is most commonly expressed as the average height of the dominant trees at a certain index age, and can be ...
Ole Martin Bollandsås+4 more
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SEAN: Image Synthesis With Semantic Region-Adaptive Normalization [PDF]
We propose semantic region-adaptive normalization (SEAN), a simple but effective building block for Generative Adversarial Networks conditioned on segmentation masks that describe the semantic regions in the desired output image. Using SEAN normalization,
Peihao Zhu+3 more
semanticscholar +1 more source
Selection and Validation of Reference Genes for Pan-Cancer in Platelets Based on RNA-Sequence Data
Many studies in recent years have demonstrated that some messenger RNA (mRNA) in platelets can be used as biomarkers for the diagnosis of pan-cancer. The quantitative real-time polymerase chain reaction (RT-qPCR) molecular technique is most commonly used
Xiaoxia Wen+17 more
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A scaling normalization method for differential expression analysis of RNA-seq data
The fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq is likely to become the platform of choice for interrogating steady state RNA.
Mark D Robinson, Alicia Oshlack
semanticscholar +1 more source
Robust Alignment of Multi-Exposed Images With Saturated Regions
It is challenging to align multi-exposed images due to large illumination variations, especially in presence of saturated regions. In this paper, a novel image alignment algorithm is proposed to cope with the multi-exposed images with saturated regions ...
Jun Jiang+4 more
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Exploration, normalization, and summaries of high density oligonucleotide array probe level data.
In this paper we report exploratory analyses of high-density oligonucleotide array data from the Affymetrix GeneChip system with the objective of improving upon currently used measures of gene expression. Our analyses make use of three data sets: a small
R. Irizarry+6 more
semanticscholar +1 more source
MOTIVATION When running experiments that involve multiple high density oligonucleotide arrays, it is important to remove sources of variation between arrays of non-biological origin. Normalization is a process for reducing this variation. It is common to
B. Bolstad+3 more
semanticscholar +1 more source
A Strong Baseline and Batch Normalization Neck for Deep Person Re-Identification [PDF]
This study proposes a simple but strong baseline for deep person re-identification (ReID). Deep person ReID has achieved great progress and high performance in recent years.
Hao Luo+6 more
semanticscholar +1 more source
To address the challenging task of diagnosing neurodegenerative brain disease, such as Alzheimer’s disease (AD) and mild cognitive impairment (MCI), we propose a novel method using discriminative feature learning and canonical correlation analysis (CCA ...
Baiying eLei+3 more
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