activity
20152017
most citedAn expanded evaluation of protein function prediction methods shows an improvement in accuracy

457 citations · 480 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.QM2017★ 15 cited

ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network

Renzhi Cao, Colton Freitas, Leong Chan +3

With the development of next generation sequencing techniques, it is fast and cheap to determine protein sequences but relatively slow and expensive to extract useful information f…

cs.AI2016★ 4 cited

DeepQA: Improving the estimation of single protein model quality with deep belief networks

Renzhi Cao, Debswapna Bhattacharya, Jie Hou +1

Protein quality assessment (QA) by ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, e…

q-bio.QM2016

Protein single-model quality assessment by feature-based probability density functions

Renzhi Cao, Jianlin Cheng

Protein quality assessment (QA) has played an important role in protein structure prediction. We developed a novel single-model quality assessment method - Qprob. Qprob calculates…

q-bio.GN2016★ 1 cited

SMISS: A protein function prediction server by integrating multiple sources

Renzhi Cao, Zhaolong Zhong, Jianlin Cheng

SMISS is a novel web server for protein function prediction. Three different predictors can be selected for different usage. It integrates different sources to improve the protein…

cs.LG2016★ 2 cited

Evaluation of Protein Structural Models Using Random Forests

Renzhi Cao, Taeho Jo, Jianlin Cheng

Protein structure prediction has been a grand challenge problem in the structure biology over the last few decades. Protein quality assessment plays a very important role in protei…

q-bio.QM2016★ 457 cited

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144

Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…

q-bio.GN2015★ 1 cited

GMOL: An Interactive Tool for 3D Genome Structure Visualization

Jackson Nowotny, Avery Wells, Lingfei Xu +4

It has been shown that genome spatial structures largely affect both genome activity and DNA function. Knowing this, many researchers are currently attempting to accurately model g…