Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Sensor networks could improve capacity faster than they grow ...

Abstract: Non-negative matrix factorization is widely used in pattern recognition as it has been proved to be an effective method for dimensionality reduction and ...

Genomic best linear unbiased prediction (GBLUP) is a key method in genomic prediction, relying on the construction of a genomic relationship matrix (G-matrix). Although various methods for G-matrix ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Abstract: Undirected graphs are frequently used to model phenomena that deal with interacting objects, such as social networks, brain activity and communication ...

A Python program that simulates systems connected with one-dimensional elements. Used to simulate problems of fluid distribution networks and one-dimensional structures. Supports linear and nonlinear ...

Real-world robotic operations often face uncertainties that can impede accurate control of manipulators. This study proposes a recurrent neural network (RNN) combining kinematic and dynamic models to ...

Antibody drug discovery is an extremely laborious and tedious process. Epitope Binning-seq, a novel method, introduces a groundbreaking approach by enabling simultaneous analysis of multiple ...