Milad Mostavi

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Classification of Cancer Types Using Graph Convolutional Neural Networks”.

Classification of Cancer Types Using Graph Convolutional Neural Networks

Frontiers in Physics(2020)10.3389/fphy.2020.00203

N/A

0DataRank · unranked

142 citations

Yu‐Chiao Chiu, Allen Hererra, Milad Mostavi, Joshua Ramirez, Yidong Chen +3 more

Convolutional neural network models for cancer type prediction based on gene expression

BMC Medical Genomics(2020)10.1186/s12920-020-0677-2

N/A

0DataRank · unranked

253 citations

Yu‐Chiao Chiu, Yufei Huang, Yidong Chen, Milad Mostavi

Predicting Sites of Epitranscriptome Modifications Using Unsupervised Representation Learning Based on Generative Adversarial Networks

Frontiers in Physics(2020)10.3389/fphy.2020.00196

N/A

0DataRank · unranked

16 citations

Milad Mostavi, Yu‐Chiao Chiu, Yidong Chen, Jianqiu Zhang, Yufei Huang +1 more

CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training

BMC Bioinformatics(2021)10.1186/s12859-021-04157-w

N/A

0DataRank · unranked

21 citations

Yu‐Chiao Chiu, Yidong Chen, Yufei Huang, Milad Mostavi