Results 31 to 40 of about 814,610 (249)
A Balance Privacy-Preserving Data Aggregation Model in Wireless Sensor Networks
Wireless sensor networks are always deployed in remote and hostile environments to gather sensitive information, in which sensor nodes are apt to encounter some serious leakage of sensitive data.
Changlun Zhang, Chao Li, Yi Zhao
doaj +1 more source
Privacy Preserving Large-Scale Rating Data Publishing
Large scale rating data usually contains both ratings of sensitive and non-sensitive issues, and the ratings of sensitive issues belong to personal privacy.
Xiaoxun Sun, Lili Sun
doaj +1 more source
Deconvoluting kernel density estimation and regression for locally differentially private data
Local differential privacy has become the gold-standard of privacy literature for gathering or releasing sensitive individual data points in a privacy-preserving manner.
Farhad Farokhi
doaj +1 more source
I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
Genome-wide Association Studies (GWASes) identify genomic variations that are statistically associated with a trait, such as a disease, in a group of individuals.
Decouchant, Jérémie (author) +3 more
core +1 more source
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data [PDF]
We propose a privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns as well as individual data point rows are divided into groups belonging to different entities.
Mangasarian, Olvi, Wild, Edward
core
K-means clustering with local dᵪ-privacy for privacy-preserving data analysis
Privacy-preserving data analysis is an emerging area that addresses the dilemma of performing data analysis on user data while protecting users' privacy.
Tjuawinata, Ivan +2 more
core +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels [PDF]
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows are divided into groups of rows.
Mangasarian, Olvi, Wild, E
core
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source

