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Deep Learning in Bioinformatics

Deep Learning in Bioinformatics

21 March 2016
Seonwoo Min
Byunghan Lee
Sungroh Yoon
    AI4CE
    3DV
ArXivPDFHTML

Papers citing "Deep Learning in Bioinformatics"

50 / 91 papers shown
Title
Exploration of Hepatitis B Virus Infection Dynamics through Virology-Informed Neural Network: A Novel Artificial Intelligence Approach
Bikram Das
Rupchand Sutradhar
D C Dalal
39
0
0
12 Mar 2025
DLSOM: A Deep learning-based strategy for liver cancer subtyping
DLSOM: A Deep learning-based strategy for liver cancer subtyping
Fabio Zamio
70
0
0
15 Dec 2024
Integrating Secondary Structures Information into Triangular Spatial
  Relationships (TSR) for Advanced Protein Classification
Integrating Secondary Structures Information into Triangular Spatial Relationships (TSR) for Advanced Protein Classification
Poorya Khajouie
Titli Sarkar
Krishna Rauniyar
Li Chen
Wu Xu
Vijay Raghavan
62
0
0
19 Nov 2024
Comprehensive benchmarking of large language models for RNA secondary structure prediction
Comprehensive benchmarking of large language models for RNA secondary structure prediction
L. I. Zablocki
L. A. Bugnon
M. Gerard
L. Di Persia
G. Stegmayer
D. H. Milone
AI4TS
23
3
0
21 Oct 2024
OmniGenBench: Automating Large-scale in-silico Benchmarking for Genomic
  Foundation Models
OmniGenBench: Automating Large-scale in-silico Benchmarking for Genomic Foundation Models
Heng Yang
Jack Cole
Ke Li
18
0
0
02 Oct 2024
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning
  for Biomedical Applications
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
V. Guarrasi
Fatih Aksu
Camillo Maria Caruso
Francesco Di Feola
Aurora Rofena
Filippo Ruffini
Paolo Soda
OffRL
MedIm
AI4CE
20
12
0
02 Aug 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Hiroshi Takahashi
Tomoharu Iwata
Atsutoshi Kumagai
Yuuki Yamanaka
35
1
0
29 May 2024
Exploring the Relationship: Transformative Adaptive Activation Functions
  in Comparison to Other Activation Functions
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions
Vladimír Kunc
10
1
0
14 Feb 2024
Predicting ATP binding sites in protein sequences using Deep Learning
  and Natural Language Processing
Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing
Shreyas V
Swati Agarwal
20
0
0
02 Feb 2024
Utilizing deep learning models for the identification of enhancers and
  super-enhancers based on genomic and epigenomic features
Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features
Zahra Ahani
Moein Shahiki Tash
Yoel Ledo Mezquita
Jason Angel
8
13
0
15 Jan 2024
Large Language Models in Plant Biology
Large Language Models in Plant Biology
H. Lam
Xing Er Ong
Marek Mutwil
11
16
0
05 Jan 2024
Real-Time Diagnostic Integrity Meets Efficiency: A Novel
  Platform-Agnostic Architecture for Physiological Signal Compression
Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression
Neel Vora
Amir Hajighasemi
Cody T. Reynolds
Amir Radmehr
Mohamed Mohamed
...
Helen H Shang
Jay Harvey
Kan Ding
Phuc Nguyen
Jacob M. Luber
20
1
0
19 Dec 2023
Deep Learning in Computational Biology: Advancements, Challenges, and
  Future Outlook
Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook
Suresh Kumar
Dhanyashri Guruparan
Pavithren Aaron
Philemon Telajan
Kavinesh Mahadevan
Dinesh Davagandhi
Ong Xin Yue
AI4CE
19
6
0
02 Oct 2023
Label Denoising through Cross-Model Agreement
Label Denoising through Cross-Model Agreement
Yu-Xiang Wang
Xin Xin
Zaiqiao Meng
J. Jose
Fuli Feng
NoLa
13
1
0
27 Aug 2023
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
Rahul Sharma
Y.B. Guo
M. Raissi
W. Guo
PINN
AI4CE
37
5
0
23 Jul 2023
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to
  Adequately Approximate Deep Neural Networks
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks
Ved Piyush
Yuchen Yan
Yuzhen Zhou
Yanbin Yin
Souparno Ghosh
25
0
0
19 Jul 2023
A Method for Detecting Murmurous Heart Sounds based on Self-similar
  Properties
A Method for Detecting Murmurous Heart Sounds based on Self-similar Properties
Dixon Vimalajeewa
Chihoon Lee
B. Vidakovic
8
2
0
28 May 2023
A One-Class Classifier for the Detection of GAN Manipulated
  Multi-Spectral Satellite Images
A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images
Lydia Abady
Giovanna Maria Dimitri
Mauro Barni
30
3
0
19 May 2023
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient
  and Generalizable Protein-Protein Interaction Prediction
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction
Ziyuan Zhao
Peisheng Qian
Xulei Yang
Zeng Zeng
Cuntai Guan
W. Tam
Xiaoli Li
17
19
0
15 May 2023
Efficient Asynchronize Stochastic Gradient Algorithm with Structured
  Data
Efficient Asynchronize Stochastic Gradient Algorithm with Structured Data
Zhao-quan Song
Mingquan Ye
22
4
0
13 May 2023
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated
  Learning Systems
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems
Yeshwanth Venkatesha
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
FedML
11
3
0
11 May 2023
GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model
GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model
Caiyang Yu
Xianggen Liu
Wentao Feng
Yun Liu
Wentao Feng
Deng Xiong
Chenwei Tang
Jiancheng Lv
21
1
0
09 May 2023
Unpaired Image Translation to Mitigate Domain Shift in Liquid Argon Time
  Projection Chamber Detector Responses
Unpaired Image Translation to Mitigate Domain Shift in Liquid Argon Time Projection Chamber Detector Responses
Y. Huang
D. Torbunov
B. Viren
Haiwang Yu
Jin-zhi Huang
Meifeng Lin
Yihui Ren
OOD
22
0
0
25 Apr 2023
Optimization-Informed Neural Networks
Optimization-Informed Neural Networks
Da-Lin Wu
A. Lisser
19
0
0
05 Oct 2022
Towards Fine-Dining Recipe Generation with Generative Pre-trained
  Transformers
Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformers
Konstantinos Katserelis
Konstantinos Skianis
19
3
0
26 Sep 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
37
206
0
06 Sep 2022
SIBILA: A novel interpretable ensemble of general-purpose machine
  learning models applied to medical contexts
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts
A. Banegas-Luna
Horacio Pérez-Sánchez
20
1
0
12 May 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics
  Identification
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
AI4CE
9
36
0
26 Apr 2022
Computer Vision and Deep Learning for Fish Classification in Underwater
  Habitats: A Survey
Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey
Alzayat Saleh
M. Sheaves
M. R. Azghadi
21
71
0
14 Mar 2022
Deep Learning, Natural Language Processing, and Explainable Artificial
  Intelligence in the Biomedical Domain
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain
M. Moradi
Matthias Samwald
46
7
0
25 Feb 2022
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Md. Khaledur Rahman
A. Azad
AI4TS
22
3
0
20 Dec 2021
SLA$^2$P: Self-supervised Anomaly Detection with Adversarial
  Perturbation
SLA2^22P: Self-supervised Anomaly Detection with Adversarial Perturbation
Yizhou Wang
Can Qin
Rongzhe Wei
Yi Tian Xu
Yue Bai
Y. Fu
AAML
13
5
0
25 Nov 2021
Physics informed neural networks for continuum micromechanics
Physics informed neural networks for continuum micromechanics
Alexander Henkes
Henning Wessels
R. Mahnken
PINN
AI4CE
8
139
0
14 Oct 2021
Deep learning models are not robust against noise in clinical text
Deep learning models are not robust against noise in clinical text
M. Moradi
Kathrin Blagec
Matthias Samwald
OOD
15
6
0
27 Aug 2021
Deep Algorithm Unrolling for Biomedical Imaging
Deep Algorithm Unrolling for Biomedical Imaging
Yuelong Li
Or Bar-Shira
V. Monga
Yonina C. Eldar
SyDa
24
10
0
15 Aug 2021
TargetNet: Functional microRNA Target Prediction with Deep Neural
  Networks
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks
Seonwoo Min
Byunghan Lee
Sungroh Yoon
7
21
0
23 Jul 2021
Deep Metric Learning Model for Imbalanced Fault Diagnosis
Deep Metric Learning Model for Imbalanced Fault Diagnosis
Xingtai Gui
Jiyang Zhang
8
1
0
08 Jul 2021
Calibrating multi-dimensional complex ODE from noisy data via deep
  neural networks
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks
Kexuan Li
Fangfang Wang
Ruiqi Liu
Fan Yang
Zuofeng Shang
11
7
0
07 Jun 2021
Analysis of Vision-based Abnormal Red Blood Cell Classification
Analysis of Vision-based Abnormal Red Blood Cell Classification
Annika Wong
Nantheera Anantrasirichai
T. Chalidabhongse
D. Palasuwan
A. Palasuwan
David Bull
12
11
0
01 Jun 2021
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein
  Interactions
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Yifan Wu
Min Gao
Min Zeng
Feiyang Chen
Min Li
Jie Zhang
14
32
0
29 Jan 2021
Align-gram : Rethinking the Skip-gram Model for Protein Sequence
  Analysis
Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis
Nabil Ibtehaz
S. Sourav
Md. Shamsuzzoha Bayzid
M. S. Rahman
17
2
0
06 Dec 2020
Conditional canonical correlation estimation based on covariates with
  random forests
Conditional canonical correlation estimation based on covariates with random forests
Cansu Alakus
Denis Larocque
S. Jacquemont
F. Barlaam
Charles-Olivier Martin
K. Agbogba
S. Lippé
A. Labbe
CML
6
9
0
23 Nov 2020
Deep multi-modal networks for book genre classification based on its
  cover
Deep multi-modal networks for book genre classification based on its cover
Chandra Kundu
Lukun Zheng
AI4TS
10
7
0
15 Nov 2020
Exploring Flip Flop memories and beyond: training recurrent neural
  networks with key insights
Exploring Flip Flop memories and beyond: training recurrent neural networks with key insights
C. Jarne
6
0
0
15 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
18
779
0
24 Sep 2020
Investigation of REFINED CNN ensemble learning for anti-cancer drug
  sensitivity prediction
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
Omid Bazgir
Souparno Ghosh
R. Pal
MedIm
6
15
0
09 Sep 2020
NASirt: AutoML based learning with instance-level complexity information
NASirt: AutoML based learning with instance-level complexity information
Habib Asseiss Neto
Ronnie Cley de Oliveira Alves
S. Campos
11
3
0
26 Aug 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Reihaneh Torkzadehmahani
Reza Nasirigerdeh
David B. Blumenthal
T. Kacprowski
M. List
...
Harald H. H. W. Schmidt
A. Schwalber
Christof Tschohl
Andrea Wohner
Jan Baumbach
13
58
0
22 Jul 2020
EPGAT: Gene Essentiality Prediction With Graph Attention Networks
EPGAT: Gene Essentiality Prediction With Graph Attention Networks
João Schapke
Anderson R. Tavares
M. Recamonde‐Mendoza
9
20
0
19 Jul 2020
Deep learning for smart fish farming: applications, opportunities and
  challenges
Deep learning for smart fish farming: applications, opportunities and challenges
Xinting Yang
Song Zhang
Jintao Liu
Qinfeng Gao
S. Dong
Chao Zhou
AI4CE
17
233
0
06 Apr 2020
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