Jed A. Fuhrman

Orcid: 0000-0002-2361-1985

According to our database1, Jed A. Fuhrman authored at least 13 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM.
CoRR, 2024

2022
Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression.
J. Comput. Biol., 2022

2021
Corrigendum to: Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences.
Briefings Bioinform., 2021

2020
Identifying viruses from metagenomic data using deep learning.
Quant. Biol., 2020

Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences.
Briefings Bioinform., 2020

2017
CAFE: aCcelerated Alignment-FrEe sequence analysis.
Nucleic Acids Res., 2017

Prediction of virus-host infectious association by supervised learning methods.
BMC Bioinform., 2017

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge.
Bioinform., 2017

2015
Statistical significance approximation in local trend analysis of high-throughput time-series data using the theory of Markov chains.
BMC Bioinform., 2015

2013
Efficient statistical significance approximation for local similarity analysis of high-throughput time series data.
Bioinform., 2013

2011
Extended local similarity analysis (eLSA) of microbial community and other time series data with replicates.
BMC Syst. Biol., 2011

2006
A dynamic programming algorithm for binning microbial community profiles.
Bioinform., 2006

Local similarity analysis reveals unique associations among marine bacterioplankton species and environmental factors.
Bioinform., 2006


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