🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Yifeng Tao

Carnegie Mellon University

ORCID: 0000-0001-5076-0081
Biochemistry, Genetics and Molecular Biology

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 10 papers. Top paper: “Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers”.

Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.07.459263
N/A
0.165DataRank · unranked
2 citations

Xiaojun Ma, Drake Palmer, Russell Schwartz, Xinghua Lu, Hatice U. Osmanbeyoglu +1 more

Neural Network Deconvolution Method for Resolving Pathway-Level Progression of Tumor Clonal Expression Programs With Application to Breast Cancer Brain Metastases

Frontiers in Physiology(2020)10.3389/fphys.2020.01055
N/A
0DataRank · unranked
3 citations

Haoyun Lei, Adrian V. Lee, Jian Ma, Russell Schwartz, Yifeng Tao

Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.29.970392
N/A
0DataRank · unranked
3 citations

E. Michael Gertz, Alejandro A. Schäffer, Xuecong Fu, Yifeng Tao, Kerstin Heselmeyer‐Haddad +10 more

Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data

Bioinformatics(2021)10.1093/bioinformatics/btab504
N/A
0DataRank · unranked
13 citations

E. Michael Gertz, Alejandro A. Schäffer, Xuecong Fu, Yifeng Tao, Kerstin Heselmeyer‐Haddad +10 more

Assessing the contribution of tumor mutational phenotypes to cancer progression risk

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008777
N/A
0DataRank · unranked
7 citations

Ashok Rajaraman, Xiaoyue Cui, Ziyi Cui, Haoran Chen, Yuanqi Zhao +5 more

De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.11.462450
N/A
0DataRank · unranked
0 citations

Yifeng Tao, Ke Yu, Yifan Xue, Russell Schwartz, Xinghua Lu +1 more

Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations

Bioinformatics(2022)10.1093/bioinformatics/btac253
N/A
0DataRank · unranked
25 citations

Haoyun Lei, Yifeng Tao, Russell Schwartz, Xuecong Fu

Semi-deconvolution of bulk and single-cell RNA-seq data with application to metastatic progression in breast cancer

Bioinformatics(2022)10.1093/bioinformatics/btac262
N/A
0DataRank · unranked
15 citations

Xiaoyan A. Guo, Yifeng Tao, Kai Ding, Xuecong Fu, Steffi Oesterreich +3 more

Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis

Bioinformatics(2020)10.1093/bioinformatics/btaa396
N/A
0DataRank · unranked
6 citations

Haoyun Lei, Xuecong Fu, Adrian V. Lee, Jian Ma, Russell Schwartz +1 more

Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers

Nucleic Acids Research(2022)10.1093/nar/gkac881
N/A
0DataRank · unranked
10 citations

Xiaojun Ma, Drake Palmer, Russell Schwartz, Xinghua Lu, Hatice U. Osmanbeyoglu +1 more