Subject: PLOS Computational Biology Volume 15(11) November 2019 Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: 8bit


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New Articles in PLOS Computational Biology

PUBLISHED: November 01, 2019 to November 29, 2019

Research Articles

Competing endogenous RNA crosstalk at system level

Direct prediction of regulatory elements from partial data without imputation

Cytoplasmic convection currents and intracellular temperature gradients

Differential regulatory network-based quantification and prioritization of key genes underlying cancer drug resistance based on time-course RNA-seq data

Neural field models for latent state inference: Application to large-scale neuronal recordings

Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets

Feasibility of functional magnetic resonance imaging of ocular dominance and orientation preference in primary visual cortex

Network-based analysis of prostate cancer cell lines reveals novel marker gene candidates associated with radioresistance and patient relapse

Bayesian inference of metabolic kinetics from genome-scale multiomics data

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps

Novel comparison of evaluation metrics for gene ontology classifiers reveals drastic performance differences

Prediction of PD-L1 inhibition effects for HIV-infected individuals

Tonic exploration governs both flexibility and lapses

Adaptation in structured populations and fuzzy boundaries between hard and soft sweeps

A population of bang-bang switches of defective interfering particles makes within-host dynamics of dengue virus controllable

Uncovering the subtype-specific temporal order of cancer pathway dysregulation

Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process

No substantial change in the balance between model-free and model-based control via training on the two-step task

Functional diversity among sensory neurons from efficient coding principles

Non-equilibrium critical dynamics of bursts in theta and delta rhythms as fundamental characteristic of sleep and wake micro-architecture

A model of how depth facilitates scene-relative object motion perception

Large-scale cortical travelling waves predict localized future cortical signals

An in silico analysis of robust but fragile gene regulation links enhancer length to robustness

A mechanistic integrative computational model of macrophage polarization: Implications in human pathophysiology

Contrasting the impact of cytotoxic and cytostatic drug therapies on tumour progression

Predicting neuronal dynamics with a delayed gain control model

Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data

An inelastic quadrupedal model discovers four-beat walking, two-beat running, and pseudo-elastic actuation as energetically optimal

Cancer recurrence times from a branching process model

Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.

Anticipatory coadaptation of ankle stiffness and sensorimotor gain for standing balance

Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity

Clustering-independent analysis of genomic data using spectral simplicial theory

A novel network control model for identifying personalized driver genes in cancer

Recurrent somatic mutations reveal new insights into consequences of mutagenic processes in cancer

Predicting Meridian in Chinese traditional medicine using machine learning approaches

Efficient sentinel surveillance strategies for preventing epidemics on networks

The role of intracellular interactions in the collective polarization of tissues and its interplay with cellular geometry

Determinants of combination GM-CSF immunotherapy and oncolytic virotherapy success identified through in silico treatment personalization


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