Using multi-step proposal distribution for improved MCMC convergence in Bayesian network structure learning

Unite and conquer

Univariate and multivariate approaches for finding differentially expressed gene sets

Structured orthogonal families of one and two strata prime basis factorial models

Signal focusing through active transport

Search reliability and search efficiency of combined Lévy-Brownian motion

Long relocations mingled with thorough local exploration


a single-cell image processor toolbox


Exploring reproducibility and robustness of RNA-seq results based on SAM files

Revealing differences in gene network inference algorithms on the network level by ensemble methods

Reorientational versus Kerr dark and gray solitary waves using modulation theory

Quantifying the non-ergodicity of scaled Brownian motion

Performance of Variable Partial Factor approach in a slope design

Parity-time-symmetric solitons in trapped Bose-Einstein condensates and the influence of varying complex potentials

A variational approach

Optimization and universality of Brownian search in a basic model of quenched heterogeneous media

Nonlinear continuous-wave optical propagation in nematic liquid crystals

Interplay between reorientational and thermal effects


An R package for visualizing large network data in biology and medicine

Majorization-minimization for manifold embedding

Investigation of an entropic stabilizer for the lattice-Boltzmann method

Introducing libeemd

a program package for performing the ensemble empirical mode decomposition

Information retrieval perspective to meta-visualization

High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method

Hermitian one-particle density matrix through a semiclassical gradient expansion

Gene Sets Net Correlations Analysis (GSNCA)

A multivariate differential coexpression test for gene sets

Gene set analysis for self-contained tests

Complex null and specific alternative hypotheses

Generative modeling for maximizing precision and recall in information visualization

Forecasting mortality rate by singular spectrum analysis

First-principles data set of 45,892 isolated and cation-coordinated conformers of 20 proteinogenic amino acids

Fault tolerance of information processing in gene networks

Exploratory analysis of spatiotemporal patterns of cellular automata by clustering compressibility

Estimation of GFP-tagged RNA numbers from temporal fluorescence intensity data

Ergodicity breaking, ageing, and confinement in generalized diffusion processes with position and time dependent diffusivity

Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networks

Dynamics of coupled repressilators

The role of mRNA kinetics and transcription cooperativity

Diffusion through thin membranes

Modeling across scales

Conformational properties of complex polymers

Rosette versus star-like structures

Comparative analysis of tissue reconstruction algorithms for 3D histology

Clustering-based method for developing a genomic copy number alteration signature for predicting the metastatic potential of prostate cancer

Characterizing rate limiting steps in transcription from RNA production times in live cells


In silico detection of genomic deletion types and correction of normal cell contamination in copy number data

A stochastic model for survival of early prostate cancer with adjustments for leadtime, length bias, and over-detection

A robust AMMI model for the analysis of genotype-by-environment data

Aging scaled Brownian motion

Ageing first passage time density in continuous time random walks and quenched energy landscapes

A comparison between joint regression analysis and the AMMI model

A case study with barley