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Machine learning prediction of cancer cell sensitivity to drugs based on
  genomic and chemical properties
v1v2v3 (latest)

Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties

3 December 2012
M. Menden
Francesco Iorio
M. Garnett
U. McDermott
C. Benes
P. Ballester
J. Sáez-Rodríguez
ArXiv (abs)PDFHTML

Papers citing "Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties"

23 / 23 papers shown
Title
IBM Quantum Computers: Evolution, Performance, and Future Directions
IBM Quantum Computers: Evolution, Performance, and Future Directions
M. AbuGhanem
79
19
0
17 Sep 2024
CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery
Abhijit Gupta
45
0
0
03 Jul 2023
Deep learning methods for drug response prediction in cancer:
  predominant and emerging trends
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
A. Partin
Thomas Brettin
Yitan Zhu
Oleksandr Narykov
Austin R. Clyde
Jamie Overbeek
Department of Materials Science
58
60
0
18 Nov 2022
Hybrid quantum neural network for drug response prediction
Hybrid quantum neural network for drug response prediction
Asel Sagingalieva
Mohammad Kordzanganeh
Nurbolat Kenbayev
Daria Kosichkina
Tatiana Tomashuk
A. Melnikov
76
75
0
10 Nov 2022
Machine Learning Applications in Lung Cancer Diagnosis, Treatment and
  Prognosis
Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis
Yawei Li
Xin Wu
P. Yang
Guoqian Jiang
Yuan Luo
AI4CE
59
2
0
05 Mar 2022
DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE
  prediction
DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Betul Guvencpaltun
Samuel Kaski
Hiroshi Mamitsuka
20
11
0
31 Mar 2021
When will the mist clear? On the Interpretability of Machine Learning
  for Medical Applications: a survey
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
A. Banegas-Luna
Jorge Pena-García
Adrian Iftene
F. Guadagni
P. Ferroni
Noemi Scarpato
Fabio Massimo Zanzotto
A. Bueno-Crespo
Horacio Pérez-Sánchez
OOD
37
1
0
01 Oct 2020
Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual
  Drug Screening Models
Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual Drug Screening Models
Austin R. Clyde
Xiaotian Duan
Rick L. Stevens
31
10
0
01 Jun 2020
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug
  Response
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response
Yitan Zhu
Thomas Brettin
Yvonne A. Evrard
A. Partin
Fangfang Xia
Maulik Shukla
H. Yoo
J. Doroshow
Rick L. Stevens
OOD
57
68
0
13 May 2020
A Systematic Approach to Featurization for Cancer Drug Sensitivity
  Predictions with Deep Learning
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning
Austin R. Clyde
Thomas Brettin
A. Partin
Maulik Shaulik
H. Yoo
Yvonne A. Evrard
Yitan Zhu
Fangfang Xia
Rick L. Stevens
114
7
0
30 Apr 2020
A Drug Recommendation System (Dr.S) for cancer cell lines
A Drug Recommendation System (Dr.S) for cancer cell lines
M. Balvert
Georgios Patoulidis
Andrew Patti
T. Deist
C. Eyler
B. Dutilh
A. Schönhuth
D. Craft
AI4TS
24
5
0
24 Dec 2019
Machine learning algorithms to infer trait-matching and predict species
  interactions in ecological networks
Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks
Maximilian Pichler
V. Boreux
A. Klein
M. Schleuning
F. Hartig
42
101
0
26 Aug 2019
Towards Explainable Anticancer Compound Sensitivity Prediction via
  Multimodal Attention-based Convolutional Encoders
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
Matteo Manica
Ali Oskooei
Jannis Born
Vigneshwar Subramanian
J. Sáez-Rodríguez
María Rodríguez Martínez
74
116
0
25 Apr 2019
Drug cell line interaction prediction
Drug cell line interaction prediction
Pengfei Liu
58
117
0
28 Dec 2018
KekuleScope: prediction of cancer cell line sensitivity and compound
  potency using convolutional neural networks trained on compound images
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I. Cortés-Ciriano
A. Bender
MedIm
87
51
0
22 Nov 2018
DHLP 1&2: Giraph based distributed label propagation algorithms on
  heterogeneous drug-related networks
DHLP 1&2: Giraph based distributed label propagation algorithms on heterogeneous drug-related networks
E. Maleki
Nasser Ghadiri
Maryam Lotfi Shahreza
Zeinab Maleki
15
1
0
22 Nov 2018
PaccMann: Prediction of anticancer compound sensitivity with multi-modal
  attention-based neural networks
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
Ali Oskooei
Jannis Born
Matteo Manica
Vigneshwar Subramanian
J. Sáez-Rodríguez
María Rodríguez Martínez
35
27
0
16 Nov 2018
Effective Learning of Probabilistic Models for Clinical Predictions from
  Longitudinal Data
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data
Shuo Yang
123
1
0
02 Nov 2018
From Gene Expression to Drug Response: A Collaborative Filtering
  Approach
From Gene Expression to Drug Response: A Collaborative Filtering Approach
Cheng Qian
N. Sidiropoulos
Magda Amiridi
A. Emad
10
6
0
29 Oct 2018
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity
  Prediction and Drug Sensitivity Biomarker Identification in Cancer
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer
Ali Oskooei
Matteo Manica
Roland Mathis
María Rodríguez Martínez
49
36
0
18 Aug 2018
Drug Selection via Joint Push and Learning to Rank
Drug Selection via Joint Push and Learning to Rank
Yicheng He
Junfeng Liu
Xia Ning
39
16
0
23 Jan 2018
Drug response prediction by inferring pathway-response associations with
  Kernelized Bayesian Matrix Factorization
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization
Muhammad Ammad-ud-din
Suleiman A. Khan
D. Malani
A. Murumägi
O. Kallioniemi
T. Aittokallio
Samuel Kaski
45
93
0
11 Jun 2016
Identification of structural features in chemicals associated with
  cancer drug response: A systematic data-driven analysis
Identification of structural features in chemicals associated with cancer drug response: A systematic data-driven analysis
Suleiman A. Khan
S. Virtanen
O. Kallioniemi
K. Wennerberg
A. Poso
Samuel Kaski
49
40
0
30 Dec 2013
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