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Nafiz Hamid
Nafiz Hamid
Harvard Medical School / Broad Institute / MGH
Verifisert e-postadresse på mgh.harvard.edu - Startside
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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome Biology 20 (1), 2019
3142019
Identifying Antimicrobial Peptides using Word Embedding with Deep Recurrent Neural Networks
MN Hamid, I Friedberg
Bioinformatics 35 (12), 2019
1052019
MetaMiner: a scalable peptidogenomics approach for discovery of ribosomal peptide natural products with blind modifications from microbial communities
L Cao, A Gurevich, KL Alexander, CB Naman, T Leão, E Glukhov, ...
Cell systems 9 (6), 600-608. e4, 2019
602019
Applications of blockchain in the financial sector and a peer-to-peer global barter web
K Ikeda, MN Hamid
Advances in computers 111, 99-120, 2018
452018
Chikungunya virus in febrile humans and Aedes aegypti mosquitoes, Yucatan, Mexico
N Cigarroa-Toledo, BJ Blitvich, RC Cetina-Trejo, LG Talavera-Aguilar, ...
Emerging Infectious Diseases 22 (10), 1804, 2016
362016
Novel antimicrobial peptide discovery using machine learning and biophysical selection of minimal bacteriocin domains
FR Fields, SD Freed, KE Carothers, MN Hamid, DE Hammers, JN Ross, ...
Drug Development Research, 1-9, 2019
332019
Transfer learning improves antibiotic resistance class prediction
MN Hamid, I Friedberg
Biorxiv, 2020.04. 17.047316, 2020
72020
MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities. Cell Systems. 2019; 9 (6 …
L Cao, A Gurevich, KL Alexander, CB Naman, T Leão, E Glukhov, ...
5
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. bioRxiv. 2019: 653105
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
doi 10 (653105), 653105, 0
5
Reliable uncertainty estimate for antibiotic resistance classification with Stochastic Gradient Langevin Dynamics
MN Hamid, I Friedberg
arXiv preprint arXiv:1811.11145, 2018
42018
MetaRiPPquest: a peptidogenomics approach for the discovery of ribosomally synthesized and post-translationally modified peptides
H Mohimani, A Gurevich, KL Alexander, CB Naman, T Leao, E Glukhov, ...
BioRxiv, 227504, 2017
42017
Self-Attention based model for de-novo antibiotic resistant gene classification with enhanced reliability for Out of Distribution data detection
MN Hamid, I Friedberg
bioRxiv, 543272, 2019
12019
Transfer learning towards combating antibiotic resistance
MN Hamid
Iowa State University, 2019
12019
Bacteriocin detection with distributed biological sequence representation
MN Hamid, I Friedberg
International Conference on Machine Learning, Workshop on Computational Biology, 2017
12017
Self-Attention based model forde-novoantibiotic resistant gene classification with enhanced reliability for Out of Distribution data detection
M Hamid, I Friedberg
2019
ENHANCED RELIABILITY FOR OUT OF DISTRIBUTION DATA DETECTION IN CLASSIFYING ANTIBIOTIC RESISTANCE GENES
MN Hamid, I Friedberg
Transfer learning towards combating antibiotic resistance 1001 (48106), 55, 2019
2019
Gene Co-expression Network analysis of Lung Squamous Cell Carcinoma data
MN Hamid
arXiv preprint arXiv:1804.01217, 2018
2018
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Artikler 1–17