Sigmoid Nonlinearities Improve Gene Network Inference
A new SRSTLS framework combines sigmoid-response dynamical models with sequential thresholded least squares to infer nonlinear gene regulatory...

Created by CuratorMaster
Pure and applied math breakthroughs, publications, and interdisciplinary insights from top journals and arXiv
Explore the latest content tracked by Mathematics Insight Digest
A new SRSTLS framework combines sigmoid-response dynamical models with sequential thresholded least squares to infer nonlinear gene regulatory...
Continuum models combined with Bayesian inference quantify epithelial tissue growth and collisions, showing that the Porous-Fisher equation...
A new simplicial complex arises from smooth Lie group actions on manifolds by combining orbit ranks with common intersections of stabilizer Lie...
A new result in Advances in Combinatorics improves the bound on the independent bondage number of planar graphs, advancing the earlier findings of Kerdjoudj and Chellali in combinatorial optimization.
Quantum computing via Ising models is supplying fresh theories and methods for solving large-scale combinatorial problems in discrete topology optimization.
A decoupled probabilistic alignment framework, governed by a global intrinsic semantic threshold and additive pairwise Bernoulli modeling, removes...
A generalized entropic velocity profile for open-channel flow now includes explicit computational steps to reproducibly determine Lagrange multipliers...
A new meta-learning framework extracts graph-based meta-features from Permutation Flow-Shop instances to predict the best Iterated Local Search...
The sudden death-sudden birth transition in minimal three-node star networks reveals the Unruh effect's dual role, both eroding and restoring network...
An 18-year-old researcher combined equivalent circuit modeling with machine learning to estimate lithium-ion battery state of health at just 2.36%...
Fresh theorems establish S1 and Sfin-type selection principles for ideals equipped with standard orders, yielding further advances on I-γ and I-γk properties.
A new adversary bound shows that continuous-time unstructured search with a dephasing Hamiltonian oracle requires evolution time scaling as N when the...
A reaction-diffusion model explicitly linking melanoma cell proliferation and migration to protease-driven tissue degradation produces travelling...
Every entangled rank-2 two-qubit state is EPR steerable, proven via local-unitary parametrization, separability conditions, and a nonlinear steering...
A novel node exposure score (NES) uses random trees and graph entropy to quantify how quickly a replicable state reaches any node via topological...
Static interactions in non-Hermitian systems can carry specific time dependencies while still preserving integrability, expanding the range of exactly...
New unified framework extends scalar topological and Minkowski-functional analysis to segmented multiphase 3D images, supported by a dedicated benchmark.
A stochastic fractional power-law model captures nonlocal temporal effects in currency exchange forecasting through fractional calculus. This approach offers a fresh mathematical lens on financial time series.