Topic 182

models random prediction performance predict data predictors model accuracy regression predictive predicting values measure ecology forest linear error predictions machine compare cases learning scenarios distribution real ensemble sdms sampling management approach mean variables forecasting number weather bioinformatics methods estimates algorithms set especially estimate among common accurate higher mae used modelling better average than study satellite quantifying particular each land interpretations datasets use nearest build cross using yield empirical evaluate when points based sets finally field limitations effective consider errors predicted application ideotype absolute measures layers method percentage selection index practices techniques rf inclusion intervals current years where correlation spatial farm

43 items. Top items listed below.

Multi-model evaluation of phenology prediction for wheat in Australia 182 53 5 4

How well do crop modeling groups predict wheat phenology, given calibration data from the target population? 182 83 38 4

Machine learning reveals time-varying microbial predictors with complex effects on glucose regulation 182 101 26 15 4

Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burdens at the national sub-national scale in Colombia 182 26 15 4

Assessing the reliability of species distribution projections in climate change research 182 160 84 17 4

Predicting Antimicrobial Resistance Using Conserved Genes 182 107 52 26 4

Productive lifespan and resilience rank can be predicted from on-farm first parity sensor time series but not using a common equation across farms 182 15 4

Near-infrared spectroscopy outperforms genomic selection for predicting sugarcane feedstock quality traits 182 15 4

Predicting subsurface sonar observations with satellite-derived ocean surface data in the California Current Ecosystem 182 17 4

TLmutation: predicting the effects of mutations using transfer learning 182 26 4

Random Forest Regression for Optimizing Variable Planting Rates for Corn and Soybean Using High-Resolution Topographical and Soil Data 182 4

New genotypic adaptability and stability analyses using Legendre polynomials and genotype-ideotype distances 182 145 123 4

How to design optimal eDNA sampling strategies for biomonitoring in river networks 182 17 4

Multi-Model and Network Inference Based on Ensemble Estimates: Avoiding the Madness of Crowds 182 83 4

Unlocking the Predictive Power of Heterogeneous Data to Build an Operational Dengue Forecasting System 182 4

Data quantity is more important than its spatial bias for predictive species distribution modelling 182 160 83 17 4

partR2: Partitioning R2 in generalized linear mixed models 182 123 4

Understanding interactions between risk factors, and assessing the utility of the additive and multiplicative models through simulations 182 123 112 38 4

Multi-tissue transcriptome-wide association studies 19 4

Site-specific machine learning predictive fertilization models for potato crops in Eastern Canada. 182 26 4

A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactions 105 26 4

A Genome-based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates 26 4

Forecasting COVID-19 cases at the Amazon region: a comparison of classical and machine learning models 182 4

Efficient Detection and Classification of Epigenomic Changes Under Multiple Conditions 182 4

Nested species distribution models of Chlamydiales in tick host Ixodes ricinus in Switzerland 182 84 17 5

Associations Between Habitat Quality And Body Size In The Carpathian Land Snail Vestia turgida: Species Distribution Model Selection And Assessment Of Performance 182 160 84 17 5 4

Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty 182 26 4

Towards a comparative framework of demographic resilience 182 17 5 4

A Deep Learning Framework for Predicting Human Essential Genes by Integrating Sequence and Functional data 105 26 4

MGIDI: towards an effective multivariate selection in biological experiments 182 123 4

Sex estimation in cranial remains: A comparison of machine learning and discriminant analysis in Italian populations 182 26 4

A High Accurate Machine Learning Meta-Strategy for the Prediction of Intrinsically Disorder Proteins 105 26 4

Controlling for Human Population Stratification in Rare Variant Association Studies 145 123 19 4

On the problems of not accounting for measurement- and sampling uncertainty in ecological and environmental models 182 83 17 5 4

Distributional Transformation improves Decoding Accuracy when Predicting Chronological Age from Structural MRI 26 4 2

Integrative Network Fusion: a multi-omics approach in molecular profiling 182 112 26 4

Optimizing the use of gene expression data to predict plant metabolic pathway memberships 105 26 4

Power analysis of transcriptome-wide association study: implications for practical protocol choice 145 123 19 4

Bayesian Markov models improve the prediction of binding motifs beyond first order without overfitting 182 4

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data 62 4 2

A deep learning framework for characterization of genotype data 26 4

Benchmarking kinetic models of Escherichia coli metabolism 38 4

Hierarchical modeling of haplotype effects based on a phylogeny 83 4

Understanding the effects of the direct contacts and the indirect contacts on the epidemic spreading among beef cattle farms in southwest Kansas 182 38

Assessing predictors for new post translational modification sites: a case study on hydroxylation 105 26 4

DeepHE: Accurately Predicting Human Essential Genes based on Deep Learning 105 26 13 4

A novel single-cell based method for breast cancer prognosis 43 26 4

Probabilistic index models for testing differential expression in single cell RNA sequencing data 43 4

A meta-learning approach for genomic survival analysis 26 4

A consensus-based ensemble approach to improve de novo transcriptome assembly 25 4

A neural network-based framework to understand the Type 2 Diabetes (T2D)-related alteration of the human gut microbiome 182 26 4

Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology 112 26 4

Using local convolutional neural networks for genomic prediction 26 4

Annotating Gene Ontology terms for protein sequences with the Transformer model 105 26 4

Prediction of Direct Carbon Emissions of Chinese Provincial Residents under Artificial Neural Networks in Deep Learning Environment 182 26 4

Non-parametric polygenic risk prediction using partitioned GWAS summary statistics 19 4

Using high-throughput phenotypes to enable genomic selection by inferring genotypes 145 53 19 4

Predicting drug sensitivity of cancer cells based on DNA methylation levels 112 26 4

How to use random walks for modeling the movement of wild animals 30 4

Improved Prediction of Smoking Status via Isoform-Aware RNA-seq Deep Learning Models 26 4

Using Single Protein/Ligand Binding Models to Predict Active Ligands for Unseen Proteins 105 26 4

Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping 53 4

A Simple Optimization Workflow to Enable Precise and Accurate Imputation of Missing Values in Proteomic Datasets 4

How citizen science could improve Species Distribution Models and their independent assessment 160 84 17 4

CUE: CpG impUtation Ensemble for DNA Methylation Levels Across the Human Methylation450 (HM450) and EPIC (HM850) BeadChip Platforms 182 87 4

Ecology-guided prediction of cross-feeding interactions in the human gut microbiome 105 26 4

Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome Datasets 26 4

Bayesian neural networks for the optimisation of biological clocks in humans 26 4

Probabilistic Approach to Understand Errors in Sequencing and its based Applications 145 4

Integrating Genomic Correlation Structure Improves Copy Number Variations Detection 145 4

Co-evolutionary Distance Prediction for Flexibility Prediction 105 26 4

Assessing the Performance of qpAdm: A Statistical Tool for Studying Population Admixture 145 83 4

Opportunities and limits of combining microbiome and genome data for complex trait prediction 19 4

Evaluating Representations for Gene Ontology Terms 105 26 4

Geographic heterogeneity impacts drug resistance predictions in Mycobacterium tuberculosis 112 26 4

Estimating individual level plant traits at scale 17 4

Probabilistic Ranking Of Microbiomes Plus Taxa Selection to discover and validate microbiome function models for multiple litter decomposition studies 29 26 4

Precision as a metric for acoustic survey design using occupancy or spatial capture-recapture 83 4

Imputing missing RNA-seq data from DNA methylation by using transfer learning based-deep neural network 105 26 4

Development of an objective index, neural activity score (NAS), reveals neural network ontogeny and treatment effects on microelectrode arrays 4 2

Ecological theory predicts ecosystem stressor interactions in freshwater ecosystems, but highlights the strengths and weaknesses of the additive null model 17 5 4

Terminitor: Cleavage Site Prediction Using Deep Learning Models 105 26 4

Robust Genomic Modelling Using Expert Knowledge about Additive, Dominance and Epistasis Variation 83 53 4

Predicting transcriptional responses to cold stress across plant species 134 26 9 4

Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging 19 7 4 2

A method for validating the accuracy of NMR protein structures 182 91 8 4

Controlling for off-target genetic effects using polygenic scores improves the power of genome-wide association studies 19 4

Optimized sgRNA design by deep learning to balance the off-target effects and on-target activity of CRISPR/Cas9 26 4

Predicting evolutionary change at the DNA level in a natural Mimulus population 21 5 4

Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics 19 4

Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches 112 26 4

First-principles prediction of the information processing capacity of a simple genetic circuit 38 4

Sparse latent factor regression models for genome-wide and epigenome-wide association studies 123 19 4

Deep learning model can predict water binding sites on the surface of proteins using limited-resolution data 111 105 26 4

Within and cross species predictions of plant specialized metabolism genes using transfer learning 105 26 16 4

Assessment of Software Methods for Estimating Protein-Protein Relative Binding Affinities 4

PRER: A Patient Representation with Pairwise Relative Expression of Proteins on Biological Networks 184 7 4

Current challenges for epitope-agnostic TCR interaction prediction and a new perspective derived from image classification 105 26 4

Exploring the quality of protein structural models from a Bayesian perspective 162 13 4

A minimal yet flexible likelihood framework to assess correlated evolution 83 21 4