Results 101 to 110 of about 733,000 (317)

De Novo Reconstruction of 3D Human Facial Images from DNA Sequence

Advanced Science, EarlyView.
This study introduces Difface, a novel deep‐learning model for reconstructing 3D facial images only from DNA data. By integrating transformer networks, spiral convolutions, and a diffusion model, Difface directly aligns high‐dimensional SNP data with 3D facial structures.
Mingqi Jiao, Jiarui Li, Bingxu Zhong, Siyuan Du, Shuning Li, Manfei Zhang, Qibin Zhang, Zhongming Liang, Fan Liu, Chunman Zuo, Sijia Wang, Luonan Chen   +11 more
wiley   +1 more source

Regression Test Case Selection &PrioritizationUsing Dependence Graph and Genetic Algorithm

, 2014
Regression testing is very important process in software maintenance. Unfortunately, it is costly and time consuming to allow for the re-execution of all test cases during regression testing.
Samaila Musa, A. B. Sultan, A. Ghani, S. Baharom   +3 more
semanticscholar   +1 more source

Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE

Advanced Science, EarlyView.
scCAFE is a deep learning framework designed to identify multi‐scale 3D genome architectural features from single‐cell Hi‐C data without dense imputation. It predicts chromatin loops, TAD‐like domains, and A/B compartments, enabling efficient characterization of organization at the single‐cell level. scCAFE also identifies marker loop anchors, offering
Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny, Wenjing Ma, Lingkuan Meng, Lei Huang, Jixiang Yu, Nanjun Chen, Yuchen Wang, Zhongyu Yao, Weidun Xie, Ka‐Chun Wong, Xiangtao Li   +12 more
wiley   +1 more source

IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases and is farnesoid X receptor responsive in NASH

Hepatology, EarlyView., 2022
IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases Abstract Background and Aims Pruritus is associated with multiple liver diseases, particularly those with cholestasis, but the mechanism remains incompletely understood.
Jun Xu, Ya Wang, Mina Khoshdeli, Matt Peach, Jen‐Chieh Chuang, Julie Lin, Wen‐Wei Tsai, Sangeetha Mahadevan, Wesley Minto, Lauri Diehl, Ruchi Gupta, Michael Trauner, Keyur Patel, Mazen Noureddin, Kris V. Kowdley, Aliya Gulamhusein, Christopher L. Bowlus, Ryan S. Huss, Robert P. Myers, Chuhan Chung, Andrew N. Billin   +20 more
wiley   +1 more source

Matrix genetics, part 4: cyclic changes of the genetic 8-dimensional Yin-Yang-algebras and the algebraic models of physiological cycles [PDF]

arXiv, 2008
The article continues an analysis of the genetic 8-dimensional Yin-Yang-algebra. This algebra was revealed in a course of matrix researches of structures of the genetic code and it was described in the author's articles arXiv:0803.3330 and arXiv:0805.4692. The article presents data about many kinds of cyclic permutations of elements of the genetic code
arxiv  

High fidelity epigenetic inheritance: Information theoretic model predicts $k$-threshold filling of histone modifications post replication [PDF]

arXiv, 2020
Beyond the genetic code, there is another layer of information encoded as chemical modifications on histone proteins positioned along the DNA. Maintaining these modifications is crucial for survival and identity of cells. How the information encoded in the histone marks gets inherited, given that only half the parental nucleosomes are transferred to ...
arxiv  

Disturbance‐Aware On‐Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator

Advanced Science, EarlyView.
This study proposes novel operational schemes to solve the write disturbance issues in oxide‐semiconductor and capacitor‐based synaptic devices (6T1C devices). These schemes effectively neutralize disturbances, enabling high‐performance on‐chip training of convolutional neural networks and reducing capacitor size over 100 times.
Jaehyeon Kang, Jongun Won, Narae Han, Sangjun Hong, Jee‐Eun Yang, Sangwook Kim, Sangbum Kim   +6 more
wiley   +1 more source

A Self‐Assembling LYTAC Mediates CTGF Degradation and Remodels Inflammatory Tumor Microenvironment for Triple‐Negative Breast Cancer Therapy

Advanced Science, EarlyView.
A CTGF‐LYTAC nanoplatform is developed to selectively degrade connective tissue growth factor (CTGF) in triple‐negative breast cancer (TNBC), inhibiting TGF‐β signaling and cell interactions in the tumor microenvironment (TME). This strategy effectively suppresses tumor growth and metastasis, outperforming antibody‐based therapy.
Jia‐Yi Lin, Ye Wu, Xiao‐Hui Liang, Min Tang, Xin Sun, Sheng‐Xin Lu, Jin‐Mei Jin, Xin Guo, Bei Wang, Hong‐Zhuan Chen, Wei‐Dong Zhang, Xin Luan   +11 more
wiley   +1 more source

Revealing the Presence of a Symbolic Sequence Representing Multiple Nucleotides Based on K-Means Clustering of Oligonucleotides

Molecules, 2019
In biological systems, a few sequence differences diversify the hybridization profile of nucleotides and enable the quantitative control of cellular metabolism in a cooperative manner.
Byoungsang Lee, So Yeon Ahn, Charles Park, James J. Moon, Jung Heon Lee, Dan Luo, Soong Ho Um, Seung Won Shin   +7 more
doaj   +1 more source

On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking [PDF]

arXiv, 2020
Multitasking optimization is a recently introduced paradigm, focused on the simultaneous solving of multiple optimization problem instances (tasks). The goal of multitasking environments is to dynamically exploit existing complementarities and synergies among tasks, helping each other through the transfer of genetic material.
arxiv