Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: bioconductor: ADAM
https://packages.ecosyste.ms/registries/bioconductor.org/packages/ADAM
ADAM: Activity and Diversity Analysis Module
1 version
Latest release: about 1 year ago
1 dependent package
5,210 downloads total
Papers Mentioning ADAM 482
10.1038/s41598-021-82043-4
PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA virusesCited by: 10
Author(s): Pablo Acera Mateos, Renzo F. Balboa, Simon Easteal, Eduardo Eyras, Hardip R. Patel
Software Mentions: 11
Published: almost 4 years ago
10.3389/fmolb.2019.00025
Anncolvar: Approximation of Complex Collective Variables by Artificial Neural Networks for Analysis and Biasing of Molecular SimulationsCited by: 22
Author(s): Dalibor Trapl, Izabela Horvacanin, Václav Mareška, Furkan Özçelik, Gözde Ünal, Vojtěch Spiwok
Software Mentions: 11
Published: over 5 years ago
10.3389/fncom.2021.674028
Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso ApproachCited by: 1
Author(s): Juan C. Laria, David Delgado-Gómez, Inmaculada Peñuelas-Calvo, Enrique Baca‐García, Rosa E. Lillo
Software Mentions: 9
Published: over 3 years ago
10.7554/eLife.47994
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learningCited by: 304
Author(s): Jacob M. Graving, Daniel H. Chae, Hemal Naik, Liang Li, Benjamin Koger, Blair R. Costelloe, Iain D. Couzin
Software Mentions: 7
Published: about 5 years ago
10.1186/s12864-020-07013-y
Optimizing performance of GATK workflows using Apache Arrow In-Memory data frameworkCited by: 3
Author(s): Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee
Software Mentions: 6
Published: about 4 years ago
10.1186/s13321-021-00536-w
Learning protein-ligand binding affinity with atomic environment vectorsCited by: 21
Author(s): Rocco Meli, Andrew Anighoro, Michael J. Bodkin, Garrett M. Morris, Philip C. Biggin
Software Mentions: 6
Published: over 3 years ago
10.3389/fnins.2018.00368
From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM)Cited by: 94
Author(s): Johannes J. Fahrenfort, Joram van Driel, Simon van Gaal, Christian N. L. Olivers
Software Mentions: 6
Published: over 6 years ago
10.1186/s13326-019-0212-6
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notesCited by: 6
Author(s): Mercedes Arguello-Casteleiro, Robert Stevens, Julio Des-Diz, Chris Wroe, M.J. Fernandez-Prieto, Nava Maroto, Diego Maseda-Fernandez, George Demetriou, Simon Peters, P. J. W. Noble, Phil Jones, Joanna Dukes‐McEwan, Alan Radford, John Keane, Goran Nenadić
Software Mentions: 6
Published: about 5 years ago
10.3389/fncom.2019.00046
A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous AgentsCited by: 5
Author(s): Jakob Jordan, Philipp Weidel, Abigail Morrison
Software Mentions: 6
Published: over 5 years ago
10.1371/journal.pcbi.1009021
MiMeNet: Exploring microbiome-metabolome relationships using neural networksCited by: 33
Author(s): Derek Reiman, Brian T. Layden, Yang Dai
Software Mentions: 5
Published: over 3 years ago
10.1128/mSphere.01263-20
Genes Influencing Phage Host Range in Staphylococcus aureus on a Species-Wide ScaleCited by: 17
Author(s): Abraham G Moller, Kyle Winston, Sang Yong Ji, Junting Wang, Michelle N. Hargita Davis, Claudia Solís-Lemus, Timothy D. Read
Software Mentions: 5
Published: over 3 years ago
10.1093/bioinformatics/btx727
Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networksCited by: 31
Author(s): Žiga Avsec, Mohammadamin Barekatain, Jianghua Cheng
Software Mentions: 5
Published: about 7 years ago
10.3390/s20164575
Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction HypotensionCited by: 17
Author(s): Ji‐Hyun Lee, Jiyoung Woo, Ah Reum Kang, Young-Seob Jeong, Woohyun Jung, Misoon Lee, Sang Hyun Kim
Software Mentions: 5
Published: over 4 years ago
10.1371/journal.pone.0199999
Detecting cerebrovascular changes in the brain caused by hypertension in atrial fibrillation group using acoustocerebrographyCited by: 1
Author(s): Wioletta Dobkowska-Chudoń, Mirosław Wrobel, P. Karłowicz, A Dąbrowski, Andrzej Krupienicz, Tomasz Targowski, Andrzej Nowicki, Robert Olszewski
Software Mentions: 5
Published: over 6 years ago
10.1038/s41598-020-60932-4
An empirical comparison of neural networks and machine learning algorithms for EEG gait decodingCited by: 44
Author(s): Sho Nakagome, Trieu Phat Luu, Yongtian He, Akshay Sujatha Ravindran, José L. Contreras-Vidal
Software Mentions: 5
Published: over 4 years ago
10.1186/s12864-019-6323-8
Bias in estimates of variance components in populations undergoing genomic selection: a simulation studyCited by: 9
Author(s): Hongding Gao, Per Madsen, G.P. Aamand, Jørn Rind Thomasen, Anders Christian Sørensen, Just Jensen
Software Mentions: 5
Published: almost 5 years ago
10.1186/s13059-020-01977-6
Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenomeCited by: 67
Author(s): Jacob Schreiber, Timothy Durham, Jeffrey A. Bilmes, William Stafford Noble
Software Mentions: 5
Published: over 4 years ago
10.1371/journal.pone.0201483
HSRA: Hadoop-based spliced read aligner for RNA sequencing dataCited by: 11
Author(s): Roberto R. Expósito, Jorge González-Domínguez, Juan Touriño
Software Mentions: 5
Published: over 6 years ago
10.1038/s41597-019-0103-9
Multitask learning and benchmarking with clinical time series dataCited by: 414
Author(s): Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale, Greg Ver Steeg, Aram Galstyan
Software Mentions: 5
Published: over 5 years ago
10.1093/gigascience/giy052
Optimized distributed systems achieve significant performance improvement on sorted merging of massive VCF filesCited by: 3
Author(s): Xiaobo Sun, Jingjing Gao, Peng Jin, Celeste Eng, Esteban G. Burchard, Terri H. Beaty, Ingo Ruczinski, Rasika A. Mathias, Kathleen C. Barnes, Fusheng Wang, Zhaohui S. Qin
Software Mentions: 5
Published: over 6 years ago
10.1093/gigascience/giab057
VC@Scale: Scalable and high-performance variant calling on cluster environmentsCited by: 3
Author(s): Tanveer Ahmad, Zaid Al-Ars, Peter Hofstee
Software Mentions: 5
Published: about 3 years ago
10.3389/fonc.2020.00272
Inferring Personalized and Race-Specific Causal Effects of Genomic Aberrations on Gleason Scores: A Deep Latent Variable ModelCited by: 2
Author(s): Zhong Chen, Andrea Edwards, Chindo Hicks, Kun Zhang
Software Mentions: 5
Published: over 4 years ago
10.7717/peerj.5551
BioWorkbench: a high-performance framework for managing and analyzing bioinformatics experimentsCited by: 11
Author(s): Maria Luiza Mondelli, Thiago Tavares Magalhães, Guilherme Loss, Michael Wilde, Ian Foster, Marta Mattoso, Daniel S. Katz, Hélio J. C. Barbosa, Ana Tereza Ribeiro de Vasconcelos, Kary Ocaña, Luiz M. R. Gadelha
Software Mentions: 4
Published: about 6 years ago
10.1186/s13326-015-0026-0
Ambiguity and variability of database and software names in bioinformaticsCited by: 8
Author(s): Geraint Duck, Aleksandar Kovačević, David L. Robertson, Robert Stevens, Goran Nenadić
Software Mentions: 4
Published: over 9 years ago
10.1186/1752-0509-7-135
SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and toolsCited by: 134
Author(s): Claudine Chaouiya, Duncan Bérenguier, Sarah M. Keating, Aurélien Naldi, Martijn P. van Iersel, Nicolás Rodríguez, Andreas Dräger, Finja Büchel, Thomas Cokelaer, Bryan Kowal, Benjamin Wicks, Emanuel Gonçalvès, Julien Dorier, Michel Le Page, Pedro T. Monteiro, Axel von Kamp, Ioannis Xénarios, Hidde de Jong, Michael Hucka, Steffen Klamt, Denis Thieffry, Nicolas Le Novère, Julio Sáez-Rodríguez, Tomáš Helikar
Software Mentions: 4
Published: almost 12 years ago
10.3389/fphar.2021.708050
A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine AlkaloidsCited by: 5
Author(s): Christoph Helma, Verena Schöning, Jürgen Drewe, Philipp Boss
Software Mentions: 4
Published: over 3 years ago
10.3390/cancers13030577
Optimizing the Procedure to Manufacture Clinical-Grade NK Cells for Adoptive ImmunotherapyCited by: 16
Author(s): Adrián Fernández, Alfonso Navarro-Zapata, Adela Escudero, Nerea Matamala, Beatriz Ruz-Caracuel, Isabel Mirones, Alicia Pernas, Marta Cobo, Gema Casado, Diego Lanzarot, Carlos Rodríguez-Antolín, María Vela, Cristina Ferreras, Carmen Mestre, Aurora Viejo, Alejandra Leivas, Javier Martı́nez, Lucía Fernández, Antonio Pérez‐Martínez
Software Mentions: 4
Published: almost 4 years ago
10.3389/fnins.2019.01321
Analyzing Neuroimaging Data Through Recurrent Deep Learning ModelsCited by: 63
Author(s): Armin W. Thomas, Hauke R. Heekeren, Klaus Robert Müller, Wojciech Samek
Software Mentions: 4
Published: almost 5 years ago
10.1186/s12859-019-3220-8
Modeling aspects of the language of life through transfer-learning protein sequencesCited by: 292
Author(s): Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes, Burkhard Rost
Software Mentions: 4
Published: almost 5 years ago
10.1371/journal.pone.0133660
GDSCalc: A Web-Based Application for Evaluating Discrete Graph Dynamical SystemsCited by: 6
Author(s): Sherif H. Elmeligy Abdelhamid, Chris J. Kuhlman, Madhav V. Marathe, Henning S. Mortveit, S. S. Ravi
Software Mentions: 4
Published: over 9 years ago
10.7554/eLife.63377
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixelsCited by: 61
Author(s): James P Bohnslav, Nivanthika K Wimalasena, Kelsey J Clausing, Yu Dai, David A. Yarmolinsky, Tomás Cruz, Adam D Kashlan, M. Eugenia Chiappe, Lauren L. Orefice, Clifford J. Woolf, Christopher D. Harvey
Software Mentions: 4
Published: about 3 years ago
10.3390/ijms21124310
Proteomic Screening for Prediction and Design of Antimicrobial Peptides with AmpGramCited by: 46
Author(s): Michał Burdukiewicz, Katarzyna Sidorczuk, Dominik Rafacz, Filip Pietluch, Jarosław Chilimoniuk, Stefan Rödiger, Przemysław Gagat
Software Mentions: 4
Published: over 4 years ago
10.3390/ijms21165847
Deep Learning Modeling of Androgen Receptor Responses to Prostate Cancer TherapiesCited by: 11
Author(s): Oliver Snow, Nada Lallous, Martin Ester, Artem Cherkasov
Software Mentions: 4
Published: over 4 years ago
10.1186/s12870-018-1611-z
Phytohormone treatment induces generation of cryptic peptides with antimicrobial activity in the Moss Physcomitrella patensCited by: 25
Author(s): Igor Fesenko, Regina Azarkina, Ilya Kirov, Andrei Kniazev, Anna Filippova, Ekaterina N. Grafskaia, В. Н. Лазарев, Victor G. Zgoda, Ivan Butenko, Olga Bukato, Irina Lyapina, Dmitry Nazarenko, S. N. Elansky, Anna Mamaeva, В. Т. Иванов, Vadim M. Govorun
Software Mentions: 4
Published: almost 6 years ago
10.3390/s21072430
Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting StrategiesCited by: 17
Author(s): Saurabh Suradhaniwar, Soumyashree Kar, Surya S. Durbha, J. Adinarayana
Software Mentions: 4
Published: over 3 years ago
10.3390/ijms21239070
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes IdentificationCited by: 45
Author(s): Nguyen Quoc Khanh Le, Duyen Thi, Truong Nguyen Khanh Hung, Luu Ho Thanh Lam, Chih-Min Lin, Ngan Thi Kim Nguyen
Software Mentions: 4
Published: almost 4 years ago
10.1186/s13601-018-0204-0
5th Pediatric Allergy and Asthma Meeting (PAAM)Cited by: 8
Author(s):
Software Mentions: 4
Published: over 6 years ago
10.3390/s20092594
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep LearningCited by: 21
Author(s): Delaram Jarchi, Javier Andreu-Pérez, Mehrin Kiani, Oldřich Vyšata, Jiří Kuchyňka, Aleš Procházka, Saeid Sanei
Software Mentions: 4
Published: over 4 years ago
10.1186/s13321-021-00535-x
Translating the InChI: adapting neural machine translation to predict IUPAC names from a chemical identifierCited by: 8
Author(s): Jennifer Handsel, Brian Matthews, Nicola Knight, Simon J. Coles
Software Mentions: 4
Published: about 3 years ago
10.3390/s16050645
An Integrated Simulation Module for Cyber-Physical Automation SystemsCited by: 18
Author(s): Francesco Ferracuti, Alessandro Freddi, Andrea Monteriù, Mariorosario Prist
Software Mentions: 4
Published: over 8 years ago
10.1016/j.molmet.2019.12.006
Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signaturesCited by: 91
Author(s): Vivek Rai, Daniel Quang, Michael R. Erdos, Darren A. Cusanovich, Riza M. Daza, Narisu Narisu, Luli S. Zou, John P. Didion, Yuanfang Guan, Jay Shendure, Stephen C. J. Parker, Francis S. Collins
Software Mentions: 4
Published: almost 5 years ago
10.7554/eLife.56261
Training deep neural density estimators to identify mechanistic models of neural dynamicsCited by: 99
Author(s): Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, William F Podlaski, Sara A. Haddad, Tim P. Vogels, David S. Greenberg, Jakob H. Macke
Software Mentions: 4
Published: about 4 years ago
10.1186/s12859-019-2952-9
Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing dataCited by: 19
Author(s): Savvas Kinalis, Finn Cilius Nielsen, Ole Winther, Frederik Otzen Bagger
Software Mentions: 4
Published: over 5 years ago
10.3390/s21061945
A Straightforward and Efficient Instance-Aware Curved Text DetectorCited by: 2
Author(s): Fan Zhao, Sidi Shao, Lin Zhang, Zhiquan Wen
Software Mentions: 4
Published: over 3 years ago
10.1016/j.media.2020.101871
Accurate brain age prediction with lightweight deep neural networksCited by: 199
Author(s): Peng Han, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith
Software Mentions: 4
Published: almost 4 years ago
10.1007/s10858-019-00265-1
Using Deep Neural Networks to Reconstruct Non-uniformly Sampled NMR SpectraCited by: 58
Author(s): D. Flemming Hansen
Software Mentions: 4
Published: over 5 years ago
10.1186/1471-2105-14-361
Detection of attractors of large Boolean networks via exhaustive enumeration of appropriate subspaces of the state spaceCited by: 31
Author(s): Nikolaos Berntenis, Martin Ebeling
Software Mentions: 3
Published: almost 11 years ago
10.1186/s13742-015-0058-5
A quantitative assessment of the Hadoop framework for analyzing massively parallel DNA sequencing dataCited by: 15
Author(s): Alexey Siretskiy, T. Sundqvist, Mikhail Voznesenskiy, Ola Spjuth
Software Mentions: 3
Published: over 9 years ago
10.7717/peerj-cs.371
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNetCited by: 11
Author(s): Elia Cano, José Mendoza-Avilés, Mariana Areiza, Noemi Guerra, José Longino Mendoza-Valdés, Carlos Rovetto
Software Mentions: 3
Published: over 3 years ago
10.3390/genes11121475
MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional InformationCited by: 13
Author(s): Muhammad Nabeel Asim, Muhammad Imran Malik, Christoph Zehe, Johan Trygg, Andreas Dengel, Sheraz Ahmed
Software Mentions: 3
Published: almost 4 years ago
10.3389/fonc.2020.598721
Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung AdenocarcinomaCited by: 24
Author(s): Baihua Zhang, Shouliang Qi, Pan Xu, Chen Li, Yu-Dong Yao, Wei Qian, Yubao Guan
Software Mentions: 3
Published: almost 4 years ago
10.3390/e21121222
Deep Learning and Artificial Intelligence for the Determination of the Cervical Vertebra Maturation Degree from Lateral RadiographyCited by: 35
Author(s): Masrour Makaremi, Camille Lacaule, Ali Mohammad-Djafari
Software Mentions: 3
Published: almost 5 years ago
10.3389/frai.2020.534696
Deep Learning for Understanding Satellite Imagery: An Experimental SurveyCited by: 34
Author(s): Sharada P. Mohanty, Jakub Czakon, Kamil Kaczmarek, A. Pyskir, Piotr Tarasiewicz, Saket Kunwar, Janick Rohrbach, Dave Luo, Manjunath Prasad, Sascha Fleer, Jan Philip Göpfert, Akshat Tandon, Guillaume Mollard, Nikhil Rayaprolu, Marcel Salathé, Malte Schilling
Software Mentions: 3
Published: about 4 years ago
10.3389/fgene.2019.00978
Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression DataCited by: 24
Author(s): Carlos Torroja, Fátima Sánchez‐Cabo
Software Mentions: 3
Published: about 5 years ago
10.1371/journal.pone.0232683
Physics-informed neural networks for solving nonlinear diffusivity and Biot’s equationsCited by: 67
Author(s): Teeratorn Kadeethum, Thomas Martini Jørgensen, Hamidreza M. Nick
Software Mentions: 3
Published: over 4 years ago
10.1016/j.spasta.2018.02.002
Spatial mapping with Gaussian processes and nonstationary Fourier featuresCited by: 39
Author(s): Jean-François Ton, Seth Flaxman, Dino Sejdinović, Samir Bhatt
Software Mentions: 3
Published: almost 6 years ago
10.3233/SHTI190211
Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation.Cited by: 1
Author(s): Benjamin C. Knoll, Elizabeth Lindemann, Arian L. Albert, Genevieve B. Melton, Serguei Pakhomov
Software Mentions: 3
Published: over 5 years ago
10.1186/s13742-016-0132-7
Recommendations on e-infrastructures for next-generation sequencingCited by: 18
Author(s): Ola Spjuth, Erik Bongcam‐Rudloff, Johan Dahlberg, Martin Dahlö, Aleksi Kallio, Luca Pireddu, Francesco Vezzi, Eija Korpelainen
Software Mentions: 3
Published: over 8 years ago
10.1093/database/bax049
Benchmarking distributed data warehouse solutions for storing genomic variant informationCited by: 9
Author(s): Marek Wiewiórka, Dawid P Wysakowicz, Michał Okoniewski, Tomasz Gambin
Software Mentions: 3
Published: almost 8 years ago
10.3389/fgene.2021.636743
DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging DataCited by: 21
Author(s): Floyd Maseda, Zixuan Cang, Qing Nie
Software Mentions: 3
Published: over 3 years ago
10.3390/s21165319
DoA Estimation for FMCW Radar by 3D-CNNCited by: 5
Author(s): Tzu-Hsien Sang, Feng-Tso Chien, Chia Chih Chang, Kuan Yu Tseng, Bo Sheng Wang, Jiun-In Guo
Software Mentions: 3
Published: over 3 years ago
10.1371/journal.pone.0213270
Comparison of infinitesimal and finite locus models for long-term breeding simulations with direct and maternal effects at the example of honeybeesCited by: 10
Author(s): Manuel Plate, Richard Bernstein, Andreas Hoppe, Kaspar Bienefeld
Software Mentions: 3
Published: over 5 years ago
10.1186/s12911-021-01608-5
Modeling and prediction of pressure injury in hospitalized patients using artificial intelligenceCited by: 13
Author(s): Charles M. Anderson, Zerihun Bekele, Yongkai Joshua Qiu, Dana Tschannen, Ivo D. Dinov
Software Mentions: 3
Published: about 3 years ago
10.1186/s12911-021-01553-3
Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networksCited by: 18
Author(s): Juan G. Díaz Ochoa, Orsolya Csiszár, Thomas Schimper
Software Mentions: 3
Published: over 3 years ago
10.1080/14686996.2017.1401424
ChemTS: an efficient python library for <i>de novo</i> molecular generationCited by: 170
Author(s): Xiufeng Yang, Jinzhe Zhang, Kazuki Yoshizoe, Kei Terayama, Koji Tsuda
Software Mentions: 3
Published: almost 7 years ago
10.1038/s41598-020-65369-3
Measuring Cancer Hallmark Mediation of the TET1 Glioma Survival Effect with Linked Neural-Network Based Mediation ExperimentsCited by: 2
Author(s): Thomas Luechtefeld, Nole Lin, Channing J. Paller, Katherine J. Kuhns, John Laterra, Joseph Bressler
Software Mentions: 3
Published: over 4 years ago
10.1177/2472555218820805
Evaluation of Machine Learning Classifiers to Predict Compound Mechanism of Action When Transferred across Distinct Cell LinesCited by: 12
Author(s): Scott J. Warchal, John C. Dawson, Neil O. Carragher
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0246096
Machine learning for buildings’ characterization and power-law recovery of urban metricsCited by: 5
Author(s): Alaa Krayem, Aram Yeretzian, Ghaleb Faour, Sara Najem
Software Mentions: 3
Published: almost 4 years ago
10.1089/cmb.2019.0337
Semisupervised Generative Autoencoder for Single-Cell DataCited by: 12
Author(s): Trung Ngô Trọng, Juha Mehtonen, Gerardo González, Roger Kramer, Ville Hautamäki, Merja Heinäniemi
Software Mentions: 3
Published: over 4 years ago
10.1038/s41598-018-30619-y
Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classificationCited by: 266
Author(s): Julie Chang, Vincent Sitzmann, Deping Xiong, Wolfgang Heidrich, Gordon Wetzstein
Software Mentions: 3
Published: over 6 years ago
10.1371/journal.pone.0221606
Predicting 30-day hospital readmissions using artificial neural networks with medical code embeddingCited by: 24
Author(s): Wenshuo Liu, Cooper Stansbury, Karandeep Singh, Andrew M. Ryan, Devraj Sukul, Elham Mahmoudi, Akbar K. Waljee, Ji Zhu, Brahmajee K. Nallamothu
Software Mentions: 3
Published: over 4 years ago
10.1002/hbm.25286
Comparing machine and deep <scp>learning‐based</scp> algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imagingCited by: 19
Author(s): Jason Smucny, Ian Davidson, Cameron S. Carter
Software Mentions: 2
Published: about 4 years ago
10.26508/lsa.201900512
ADAPTABLE: a comprehensive web platform of antimicrobial peptides tailored to the user’s researchCited by: 25
Author(s): Francisco Ramos‐Martín, Thibault Annaval, Sébastien Buchoux, Catherine Sarazin, Nicola D’Amelio
Software Mentions: 2
Published: about 5 years ago
10.1093/gigascience/giz044
SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelinesCited by: 22
Author(s): Samuel Lampa, Martin Dahlö, Jonathan Alvarsson, Ola Spjuth
Software Mentions: 2
Published: over 5 years ago
10.3390/insects12050466
Utilizing Red Spotted Apollo Butterfly Transcriptome to Identify Antimicrobial Peptide Candidates against Porphyromonas gingivalisCited by: 2
Author(s): Kang-Woon Lee, Jaegoo Kim, Karpagam Veerappan, Hak-Jae Chung, Sathishkumar Natarajan, Ki‐Young Kim, Jun Hyung Park
Software Mentions: 2
Published: over 3 years ago
10.1186/gb-2008-9-s2-s8
Linking genes to literature: text mining, information extraction, and retrieval applications for biologyCited by: 198
Author(s): Martin Krallinger, Alfonso Valencia, Lynette Hirschman
Software Mentions: 2
Published: about 16 years ago
10.1093/gigascience/giy098
Bioinformatics applications on Apache SparkCited by: 49
Author(s): Runxin Guo, Yi Zhao, Quan Zou, Xiaodong Fang, Shaoliang Peng
Software Mentions: 2
Published: over 6 years ago
10.3389/frobt.2018.00110
Stage-Wise Learning of Reaching Using Little Prior KnowledgeCited by: 4
Author(s): François de La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau
Software Mentions: 2
Published: about 6 years ago
10.3389/fphys.2021.667828
Deep Learning Approaches to Surrogates for Solving the Diffusion Equation for Mechanistic Real-World SimulationsCited by: 1
Author(s): J. Quetzalcóatl Toledo-Marín, Geoffrey Fox, James P. Sluka, James A. Glazier
Software Mentions: 2
Published: over 3 years ago
10.1186/1471-2105-12-295
ADAM: Analysis of Discrete Models of Biological Systems Using Computer AlgebraCited by: 47
Author(s): Franziska Hinkelmann, Madison Brandon, Bonny Guang, Rustin McNeill, Grigoriy Blekherman, Alan Veliz-Cuba, Reinhard Laubenbacher
Software Mentions: 2
Published: over 13 years ago
10.3390/genes12020319
Meta-Analysis of Gene Popularity: Less Than Half of Gene Citations Stem from Gene Regulatory NetworksCited by: 3
Author(s): Ionut Sebastian Mihai, Debojyoti Das, Gabija Maršalkaite, Johan Henriksson
Software Mentions: 2
Published: over 3 years ago
10.1186/s12859-018-2507-5
Deep clustering of protein folding simulationsCited by: 64
Author(s): Debsindhu Bhowmik, Shang Gao, M. Todd Young, Arvind Ramanathan
Software Mentions: 2
Published: almost 6 years ago
10.3389/fnins.2020.590164
A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture RecognitionCited by: 36
Author(s): Yannan Xing, Gaetano Di Caterina, John J. Soraghan
Software Mentions: 2
Published: about 4 years ago
10.1186/s12859-019-3327-y
Antimicrobial peptide identification using multi-scale convolutional networkCited by: 40
Author(s): Xin Su, Jing Xu, Yanbin Yin, Xiongwen Quan, Han Zhang
Software Mentions: 2
Published: almost 5 years ago
10.1186/1471-2105-14-194
bioNerDS: exploring bioinformatics’ database and software use through literature miningCited by: 26
Author(s): Geraint Duck, Goran Nenadić, Andy Brass, David L. Robertson, Robert Stevens
Software Mentions: 2
Published: over 11 years ago
10.3389/fninf.2019.00034
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image PopulationsCited by: 6
Author(s): Sahar Ahmad, Jingfan Fan, Pei Dong, Xiaohuan Cao, Pew Thian Yap, Dinggang Shen
Software Mentions: 2
Published: over 5 years ago
10.3389/fneur.2021.720650
Automated Movement Assessment in Stroke RehabilitationCited by: 3
Author(s): Tamim Ahmed, Kowshik Thopalli, Thanassis Rikakis, Pavan Turaga, Aisling Kelliher, Jia-Bin Huang, Steven L. Wolf
Software Mentions: 2
Published: over 3 years ago
10.1186/s12711-018-0439-1
Approximate Bayesian neural networks in genomic predictionCited by: 36
Author(s): Patrik Waldmann
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pcbi.1008565
Online analysis of microendoscopic 1-photon calcium imaging data streamsCited by: 22
Author(s): Johannes Friedrich, Andrea Giovannucci, Eftychios A. Pnevmatikakis
Software Mentions: 2
Published: almost 4 years ago
10.1371/journal.pcbi.1009246
Adaptation supports short-term memory in a visual change detection taskCited by: 9
Author(s): Brian Hu, Marina Garrett, Peter A. Groblewski, Douglas R. Ollerenshaw, Jiaqi Shang, Kate Roll, Sahar Manavi, Christof Koch, Shawn R. Olsen, Ştefan Mihalaş
Software Mentions: 2
Published: about 3 years ago
10.1186/s12859-019-3159-9
PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasetsCited by: 15
Author(s): Luca Nanni, Pietro Pinoli, Arif Canakoglu, Stefano Ceri
Software Mentions: 2
Published: about 5 years ago
10.3389/fncel.2021.621252
OptiFlex: Multi-Frame Animal Pose Estimation Combining Deep Learning With Optical FlowCited by: 15
Author(s): Xiaole Liu, Siyang Yu, Nico A. Flierman, Sebastián Loyola, Maarten Kamermans, Tycho M. Hoogland, Chris I. De Zeeuw
Software Mentions: 2
Published: over 3 years ago
10.3389/fgene.2020.00025
Sparse Convolutional Neural Networks for Genome-Wide PredictionCited by: 19
Author(s): Patrik Waldmann, Christina Pfeiffer, Gábor Mészáros
Software Mentions: 2
Published: almost 5 years ago
10.1371/journal.pcbi.1007918
Classifying sex and strain from mouse ultrasonic vocalizations using deep learningCited by: 32
Author(s): Aleksandr Ivanenko, Paul V. Watkins, Marcel A. J. van Gerven, Kurt Hammerschmidt, Bernhard Englitz
Software Mentions: 2
Published: over 4 years ago
10.1186/s12859-016-0904-1
GenAp: a distributed SQL interface for genomic dataCited by: 13
Author(s): Christos Kozanitis, David A. Patterson
Software Mentions: 2
Published: almost 9 years ago
10.1093/bioinformatics/bts644
ADAM: automated data management for research datasetsCited by: 1
Author(s): Mark Woodbridge, Christopher Tomlinson, Sarah Butcher
Software Mentions: 2
Published: about 12 years ago
10.3389/frai.2020.00070
Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural NetworksCited by: 6
Author(s): Kun Su, Eli Shlizerman
Software Mentions: 2
Published: about 4 years ago
10.1371/journal.pone.0252573
COVID-19 detection using federated machine learningCited by: 51
Author(s): Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan
Software Mentions: 2
Published: over 3 years ago
10.3389/fcvm.2020.00017
From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI ReconstructionCited by: 79
Author(s): Aurélien Bustin, Niccolò Fuin, René M. Botnar, Claudia Prieto
Software Mentions: 2
Published: over 4 years ago
10.3390/e22010083
The Decomposition and Forecasting of Mutual Investment Funds Using Singular Spectrum AnalysisCited by: 13
Author(s): Paulo Canas Rodrigues, Jonatha Sousa Pimentel, Patrick Messala, Mohammad Kazemi
Software Mentions: 2
Published: almost 5 years ago