Q-Bio-Qm
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks
A Big Data Analytics Framework to Predict the Risk of Opioid Use Disorder
High-throughput, high-resolution registration-free generated adversarial network microscopy
Tumor Connectomics: Mapping the intra-tumoral complex interaction network
Efficient Genomic Interval Queries Using Augmented Range Trees
A perspective on Microscopy Metadata: data provenance and quality control
Understanding the errors of SHAPE-directed RNA structure modeling
Quantitative phase microscopy spatial signatures of cancer cells
An exact expression to calculate the derivatives of position-dependent observables in molecular simulations with flexible constraints
Exploring the randomness of Directed Acyclic Networks
Collective Animal Behavior from Bayesian Estimation and Probability Matching
Molecular Brightness analysis of GPCR oligomerization in the presence of spatial heterogeneity
The EM Algorithm and the Rise of Computational Biology
Engineering Relative Compression of Genomes
Real-time Cellular Impedance Monitoring and Imaging of Biological Barriers in a dual flow membrane bioreactor
Robustness of circadian clocks to daylight fluctuations: hints from the picoeucaryote Ostreococcus tauri
Efficient Tree Solver for Hines Matrices on the GPU
TripNet: A Method for Constructing Phylogenetic Networks from Triplets
Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics
Centralized "big science" communities more likely generate non-replicable results
