Cong Pian

Orcid: 0000-0001-7401-2926

According to our database1, Cong Pian authored at least 14 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
NcPath: a novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways.
Bioinform., January, 2023

2022
Predicting the structure of unexplored novel fentanyl analogues by deep learning model.
Briefings Bioinform., 2022

PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites.
Briefings Bioinform., 2022

MiRLoc: predicting miRNA subcellular localization by incorporating miRNA-mRNA interactions and mRNA subcellular localization.
Briefings Bioinform., 2022

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.
Briefings Bioinform., 2022

2021
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.
PLoS Comput. Biol., 2021

Mining influential genes based on deep learning.
BMC Bioinform., 2021

2020
SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species.
Bioinform., 2020

MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model.
Bioinform., 2020

miR+Pathway: the integration and visualization of miRNA and KEGG pathways.
Briefings Bioinform., 2020

2018
LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs.
Database J. Biol. Databases Curation, 2018

2017
V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature.
J. Bioinform. Comput. Biol., 2017

2016
OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.
J. Bioinform. Comput. Biol., 2016

2014
Promoter recognition based on the maximum entropy hidden Markov model.
Comput. Biol. Medicine, 2014


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