Algorithm
Look-alike humans identified by facial recognition algorithms show genetic similarities
August, 2022
Highlights
- Facial recognition algorithms identify “look-alike” humans for multiomics studies
- Intrapair look-alikes share common genetic sequences such as face trait variants
- DNA methylation and microbiome profiles only contribute modestly to human likeness
- The identified SNPs impact physical and behavioral phenotypes beyond facial features
Summary
Maximum Flow and Minimum-Cost Flow in Almost-Linear Time
April, 2022
Abstract
We give an algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with m edges and polynomially bounded integral demands, costs, and capacities in m1+o(1) time. Our algorithm builds the flow through a sequence of m1+o(1) approximate undirected minimum-ratio cycles, each of which is computed and processed in amortized mo(1) time using a new dynamic graph data structure.
A Comparative Study of Data Mining Algorithms used for Signal Detection in FDA AERS Database
DSA ADS Course - 2021
Algorithm, Adverse Event Reporting System, FAERS, Data Mining, Signal Detection, Bayes Geometric Mean, FDA AERS Database, Disproportionality Analysis, Pharmacovigilance
A Comparative Study of Data Mining Algorithms used for Signal Detection in FDA AERS Database
Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms
DSA ADS Course - 2021
Algorithm, Adverse Event Reporting System, FAERS, Data Mining, Signal Detection, Bayes Geometric Mean
Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms
Objectives: Data mining algorithms have been developed for the quantitative detection of drug-associated adverse events (signals) from a large database on spontaneously reported adverse events. In the present study, the commonality of signals detected by 4 commonly used data mining algorithms was examined.
Reactions on Algorithms: a systematic Literature Review of Algorithm Aversion and Algorithm Appreciation
DSA External Course - 2021
May, 2020
Abstract
Participating and Designing around Algorithmic Sociotechnical Systems
Communicating Algorithmic Process in Online Behavioral Advertising
Quantum Algorithm for Nonlinear Differential Equations
December, 2020
Abstract
Quantum computers are known to provide an exponential advantage over classical computers for the solution of linear differential equations in high-dimensional spaces. Here, we present a quantum algorithm for the solution of nonlinear differential equations. The quantum algorithm provides an exponential advantage over classical algorithms for solving nonlinear differential equations. Potential applications include the Navier-Stokes equation, plasma hydrodynamics, epidemiology, and more.