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i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome

i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome

Ruhul Amin
C. R. Rahman
Md. Sadrul Islam Toaha
Swakkhar Shatabda
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Papers citing "i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome"

4 / 4 papers shown
Title
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters
Ruhul Amin
C. R. Rahman
Md. Habibur Rahman Sifat
Md Nazmul Khan Liton
Md. Moshiur Rahman
Swakkhar Shatabda
Sajid Ahmed
20
43
0
21 Dec 2019
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
58
3,218
0
22 Mar 2018
Comparative Study of CNN and RNN for Natural Language Processing
Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
67
987
0
07 Feb 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
374
7,959
0
17 Aug 2015

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