Results 81 to 90 of about 3,622,541 (329)
$L^2$ Asymptotics for High-Dimensional Data [PDF]
, 2015 We develop an asymptotic theory for $L^2$ norms of sample mean vectors of high-dimensional data. An invariance principle for the $L^2$ norms is derived under conditions that involve a delicate interplay between the dimension $p$, the sample size $n$ and ...
Wu, Wei Biao, Xu, Mengyu, Zhang, Danna
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ATF4‐mediated stress response as a therapeutic vulnerability in chordoma
Molecular Oncology, EarlyView.We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone +11 more
wiley +1 more source
KERNEL LOGISTIC REGRESSION-LINEAR FOR LEUKEMIA CLASSIFICATION USING HIGH DIMENSIONAL DATA
JUTI: Jurnal Ilmiah Teknologi Informasi, 2009 Kernel Logistic Regression (KLR) is one of the statistical models that has been proposed for classification in the machine learning and data mining communities, and also one of the effective methodologies in the kernel–machine techniques.
S P Rahayu +3 more
doaj +1 more source
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient
, 2018 High dimensional structured data enriched model describes groups of observations by shared and per-group individual parameters, each with its own structure such as sparsity or group sparsity. In this paper, we consider the general form of data enrichment
Asiaee, Amir +3 more
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Molecular Oncology, EarlyView.Methods to improve antibody–drug conjugate (ADC) treatment durability in cancer therapy are needed. We utilized ADCs and immune‐stimulating antibody conjugates (ISACs), which are made from two non‐competitive antibodies, to enhance the entry of toxic payloads into cancer cells and deliver immunostimulatory agents into immune cells.
Tiexin Wang +3 more
wiley +1 more source
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
, 2018 Modern applications increasingly involve high-dimensional and heterogeneous data, e.g., datasets formed by combining numerous measurements from myriad sources.
Balzano, Laura +2 more
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Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data [PDF]
, 2012 The classification of high dimensional data with kernel methods is considered in this article. Exploit- ing the emptiness property of high dimensional spaces, a kernel based on the Mahalanobis distance is proposed.
Benediktsson, J. A. +3 more
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Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Analyzing high dimensional correlated data using feature ranking and classifiers
Computational and Mathematical Biophysics, 2019 The Illumina Infinium HumanMethylation27 (Illumina 27K) BeadChip assay is a relatively recent high-throughput technology that allows over 27,000 CpGs to be assayed.
Patil Abhijeet R +3 more
doaj +1 more source
Design of high dimensional data acquisition system of industrial field
Gong-kuang zidonghua, 2013 For problem of high-speed data acquisition and transmission of high dimensional spectral data of industrial field, the paper proposed a design scheme of high dimensional data acquisition system. The system selects TMS320C6713B DSP chip as core processing
ZHAO An-xin, ZHANG Cai-tian
doaj +1 more source