Results 111 to 120 of about 1,072,724 (364)
Information-theoretically Optimal Sparse PCA
Sparse Principal Component Analysis (PCA) is a dimensionality reduction technique wherein one seeks a low-rank representation of a data matrix with additional sparsity constraints on the obtained representation. We consider two probabilistic formulations
Deshpande, Yash, Montanari, Andrea
core +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
DP-PCA: Statistically Optimal and Differentially Private PCA
We study the canonical statistical task of computing the principal component from $n$ i.i.d.~data in $d$ dimensions under $(\varepsilon,δ)$-differential privacy. Although extensively studied in literature, existing solutions fall short on two key aspects: ($i$) even for Gaussian data, existing private algorithms require the number of samples $n$ to ...
Liu, Xiyang +3 more
openaire +2 more sources
Phase Transitions in Sparse PCA
We study optimal estimation for sparse principal component analysis when the number of non-zero elements is small but on the same order as the dimension of the data. We employ approximate message passing (AMP) algorithm and its state evolution to analyze
Krzakala, Florent +2 more
core +2 more sources
The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells
We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel +8 more
wiley +1 more source
Tryptophan metabolite atlas uncovers organ, age, and sex‐specific variations
Tryptophan metabolites were analyzed across twelve organs, the central nervous system, and serum in male and female mice at three life stages. We found tissue‐, sex‐, and age‐specific differences, including increased indole‐3‐pyruvate and kynurenine in aging males.
Lizbeth Perez‐Castro +8 more
wiley +1 more source
Survey of 3-chloropropane-1,2-diol and its precursors in foods in the Czech Republic
A survey of the levels of 3-chloropropane-1,2-diol (3-MCPD) and its precursors in a range of selected retail food products in the Czech Republic is reported.
V. Divinová +3 more
doaj +1 more source
PCA in High Dimensions: An Orientation
When the data are high dimensional, widely used multivariate statistical methods such as principal component analysis can behave in unexpected ways. In settings where the dimension of the observations is comparable to the sample size, upward bias in ...
I. Johnstone, D. Paul
semanticscholar +1 more source
Durable B‐Cell Impairment While Sparing IgA B Cells After Ocrelizumab Therapy in Multiple Sclerosis
ABSTRACT Objectives Ocrelizumab (OCR), a humanized anti‐CD20 monoclonal antibody, is highly efficient in relapsing–remitting multiple sclerosis (RR‐MS). We assessed early cellular B‐cell profiles in patients prior to OCR treatment, on OCR treatment, and after 15 months of therapy discontinuation.
Alexandra Garcia +20 more
wiley +1 more source
An example of using obliquely rotated principal components to detect circulation types over Europe
Principal component analysis (PCA) is applied to selected gridded 500 hPa height data over Europe, the stratification of which is known in advance, in order to evaluate its ability to find dominating circulation types.
Radan Huth
doaj +1 more source

