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Align-gram : Rethinking the Skip-gram Model for Protein Sequence
  Analysis

Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis

6 December 2020
Nabil Ibtehaz
S. Sourav
Md. Shamsuzzoha Bayzid
M. S. Rahman
ArXivPDFHTML

Papers citing "Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis"

14 / 14 papers shown
Title
An Investigation in Optimal Encoding of Protein Primary Sequence for
  Structure Prediction by Artificial Neural Networks
An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks
Aaron Hein
C. Cole
H. Valafar
AI4CE
16
3
0
02 Aug 2020
ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar
M. Heinzinger
Christian Dallago
Ghalia Rehawi
Yu Wang
...
Tamas B. Fehér
Christoph Angerer
Martin Steinegger
D. Bhowmik
B. Rost
DRL
37
927
0
13 Jul 2020
Evaluating Protein Transfer Learning with TAPE
Evaluating Protein Transfer Learning with TAPE
Roshan Rao
Nicholas Bhattacharya
Neil Thomas
Yan Duan
Xi Chen
John F. Canny
Pieter Abbeel
Yun S. Song
SSL
77
786
0
19 Jun 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
862
93,936
0
11 Oct 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
93
11,520
0
15 Feb 2018
dna2vec: Consistent vector representations of variable-length k-mers
dna2vec: Consistent vector representations of variable-length k-mers
Patrick Ng
42
173
0
23 Jan 2017
Distributed Representations for Biological Sequence Analysis
Distributed Representations for Biological Sequence Analysis
Dhananjay Kimothi
Akshay Soni
Pravesh Biyani
J. Hogan
DRL
19
67
0
21 Aug 2016
An Empirical Evaluation of doc2vec with Practical Insights into Document
  Embedding Generation
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
Jey Han Lau
Timothy Baldwin
64
651
0
19 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
317
18,300
0
27 May 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
55
1,358
0
21 Mar 2016
ProtVec: A Continuous Distributed Representation of Biological Sequences
ProtVec: A Continuous Distributed Representation of Biological Sequences
Ehsaneddin Asgari
M. R. Mofrad
35
357
0
17 Mar 2015
word2vec Explained: deriving Mikolov et al.'s negative-sampling
  word-embedding method
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Yoav Goldberg
Omer Levy
SSL
46
1,609
0
15 Feb 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
273
33,445
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
524
31,406
0
16 Jan 2013
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