Results 161 to 170 of about 308,238 (274)

A Murine Database of Structural Variants Identifies A Candidate Gene for a Spontaneous Murine Lymphoma Model

Advanced Science, EarlyView.
We analyzed long‐read genomic sequencing data obtained from 40 inbred mouse strains to produce a large database of structural variants. This dataset captures the major types of structural variants, which includes deletions, insertions, duplications, and inversions.
Wenlong Ren, Zhuoqing Fang, Egor Dolzhenko, Christopher T. Saunders, Zhuanfen Cheng, Victoria Popic, Gary Peltz   +6 more
wiley   +1 more source

Deep learning software and revised 2D model to segment bone in micro-CT scans. [PDF]

Front Bioinform
Lee AH, Talluri G, Damani M, Covarrubias BV, Hanna H, Chavez J, Moore JM, Baradarian J, Molgaard M, Nielson B, Walden K, Broderick TL, Al-Nakkash L.   +12 more
europepmc   +1 more source

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

Advanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong, Haodong Shi, Qi Wang, Yingchao Li, Hongyu Sun, Jiayu Wang, Guanlin Li, Jian Zhang, Qiang Fu, Huilin Jiang   +9 more
wiley   +1 more source

Fast barcode calling based on <i>k</i>-mer distances. [PDF]

PNAS Nexus
Uphoff RC, Schüler S, Grosse I, Müller-Hannemann M.   +3 more
europepmc   +1 more source

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling

Advanced Electronic Materials, EarlyView.
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta, Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Stephan Menzel, Antonio La Porta, Tommaso Stecconi, Folkert Horst, Bert Jan Offrein, Valeria Bragaglia   +9 more
wiley   +1 more source

SPAC: a scalable and integrated enterprise platform for single-cell spatial analysis. [PDF]

BMC Bioinformatics
Liu F, He R, Sheeley T, Scheiblin DA, Lockett SJ, Ridnour LA, Wink DA, Jensen M, Cortner J, Zaki G.   +9 more
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Protocol for quantitative analysis of adult zebrafish swimming behavior using DeepLabCut. [PDF]

STAR Protoc
Keerthisinghe P, Karim A, Basak A, Orengo JP.   +3 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

A multi-GPU enabled solver in Kronecker product form for multiphysics problems. [PDF]

Sci Rep
Ma W, Zhao S, Le X, Yuan W.
europepmc   +1 more source