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Tianxiao Li
Tianxiao Li
Verified email at yale.edu
Title
Cited by
Cited by
Year
RNA biomarkers: frontier of precision medicine for cancer
X Xi, T Li, Y Huang, J Sun, Y Zhu, Y Yang, ZJ Lu
Non-coding RNA 3 (1), 9, 2017
1452017
What are we depressed about when we talk about covid-19: Mental health analysis on tweets using natural language processing
I Li, Y Li, T Li, S Alvarez-Napagao, D Garcia-Gasulla, T Suzumura
Artificial Intelligence XXXVII: 40th SGAI International Conference on …, 2020
722020
Functional genomics data: privacy risk assessment and technological mitigation
G Gürsoy, T Li, S Liu, E Ni, CM Brannon, MB Gerstein
Nature Reviews Genetics 23 (4), 245-258, 2022
292022
TopicNet: a framework for measuring transcriptional regulatory network change
S Lou, T Li, X Kong, J Zhang, J Liu, D Lee, M Gerstein
Bioinformatics 36 (Supplement_1), i474-i481, 2020
232020
The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
J Rozowsky, J Gao, B Borsari, YT Yang, T Galeev, G Gürsoy, CB Epstein, ...
Cell 186 (7), 1493-1511. e40, 2023
152023
Unsupervised cross-domain prerequisite chain learning using variational graph autoencoders
I Li, V Yan, T Li, R Qu, D Radev
arXiv preprint arXiv:2105.03505, 2021
122021
Global data science project for covid-19 summary report
D Garcia-Gasulla, SA Napagao, I Li, H Maruyama, H Kanezashi, ...
9*2020
Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients
D Spakowicz, S Lou, B Barron, JL Gomez, T Li, Q Liu, N Grant, X Yan, ...
Genome biology 21, 1-22, 2020
52020
LiGCN: label-interpretable graph convolutional networks for multi-label text classification
I Li, A Feng, H Wu, T Li, T Suzumura, R Dong
arXiv preprint arXiv:2103.14620, 2021
42021
Heterogeneous graph neural networks for multi-label text classification
I Li, T Li, Y Li, R Dong, T Suzumura
arXiv preprint arXiv:2103.14620, 2021
42021
GRAM: A generalized model to predict the molecular effect of a non-coding variant in a cell-type specific manner
S Lou, KA Cotter, T Li, J Liang, H Mohsen, J Liu, J Zhang, S Cohen, J Xu, ...
PLoS genetics 15 (8), e1007860, 2019
42019
Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients
S Lou, T Li, D Spakowicz, X Yan, GL Chupp, M Gerstein
BMC bioinformatics 21, 1-13, 2020
32020
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
T Li, H Guo, F Grazioli, M Gerstein, MR Min
Advances in Neural Information Processing Systems 36, 2024
22024
Constructing a multiple-layer interactome for SARS-CoV-2 in the context of lung disease: Linking the virus with human genes and co-infecting microbes
S Lou, T Li, M Gerstein
bioRxiv, 2021.12. 05.471290, 2021
1*2021
A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation
X Tang, H Dai, E Knight, F Wu, Y Li, T Li, M Gerstein
arXiv preprint arXiv:2402.08703, 2024
2024
3D Autoencoding Diffusion Model for Molecule Interpolation and Manipulation
T Li, MR Min, H Guo, M Gerstein
2023
Gene Tracer: a smart, interactive, voice-controlled Alexa skill For gene information retrieval and browsing, mutation annotation and network visualization
S Lou, T Li, J Liu, M Gerstein
Bioinformatics 37 (18), 2998-3000, 2021
2021
Global Data Science Project for COVID-19 Summary Report (preprint)
D Garcia-Gasulla, SA Napagao, I Li, H Maruyama, H Kanezashi, ...
2020
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing (preprint)
I Li, Y Li, T Li, S Alvarez-Napagao, D Garcia-Gasulla, T Suzumura
2020
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Articles 1–19