output
20052025
most citedSecond-generation PLINK: rising to the challenge of larger and richer datasets

14.3k citations

77 papers

q-bio.GN2025

Advancing Risk Gene Discovery Across the Allele Frequency Spectrum

Madison Caballero, Behrang Mahjani

The discovery of genetic risk factors has transformed human genetics, yet the pace of new gene identification has slowed despite the exponential expansion of sequencing and biobank…

physics.flu-dyn2025

Stresses and fluid flow in lamina cribrosa through anisotropic poroelasticty

Riccardo Cavuoto, Sofia Damian, Luca Deseri +5

To investigate the mechanical correlations between intraocular pressure (IOP) variations and glaucoma, this study presents a linear transversely isotropic poroelastic model of the…

physics.med-ph2025★ 2 cited

Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography

Maxime Descoteaux, Kurt G. Schilling, Dogu Baran Aydogan +44

In the spirit of the historic Millennium Prize Problems that heralded a new era for mathematics, the newly formed International Society for Tractography (IST) has launched the Mill…

math.NT2025

Generalization of Ramanujan's formula for sums of half-integer powers of consecutive integers via formal Bernoulli series

Max A. Alekseyev, Rafael Gonzalez, Keryn Loor +2

Faulhaber's formula expresses the sum of the first positive integers, each raised to an integer power , as a polynomial in of degree . Ramanujan expressed thi…

stat.ME2025

A Network-Guided Penalized Regression with Application to Proteomics Data

Seungjun Ahn, Eun Jeong Oh

Network theory has proven invaluable in unraveling complex protein interactions. Previous studies have employed statistical methods rooted in network theory, including the Gaussian…

eess.IV2025★ 3 cited

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

Mohammad Amin Khalafi, Seyed Amir Ahmad Safavi-Naini, Ameneh Salehi +13

Introduction: This study provides a comprehensive performance assessment of vision-language models (VLMs) against established convolutional neural networks (CNNs) and classic machi…