引用次数
引用: 40,449
H-指数: 45
I10-指数 : 80
出版物: 234
MD-AD: Multi-task deep learning for Alzheimer’s disease neuropathology
Nicasia Beebe-Wang , Safiye Celik , Su-In Lee
bioRxiv 331942
3
2018
UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields
Mohammad Javad Hosseini , Noah A. Smith , Su-In Lee
north american chapter of the association for computational linguistics 931 -936
4
2016
Titanizing on the surface of iron metal foam
Su-In Lee , Jung-Yeul Yun , Tae-Soo Lim , Byoung-Kee Kim
Thermochimica Acta 581 ( 581) 87 -91
2
2014
Big Data Approach to Identify Molecular Basis for Drug Sensitivity Phenotypes in Acute Myeloid Leukemia
Su-In Lee , Benjamin Logsdon , Akanksha Saxena , Vivian Oehler
Blood 124 ( 21) 265 -265
2014
An Analysis of the Airtightness Performance and Heating Energy Demand According to Building Structural Characteristics -Focused on Newly Apartment Houses-
Su-In Lee , Jeong-Gook Kim , Seo-Hun Kim , Jong-Hun Kim
KIEAE Journal 15 ( 2) 109 -115
2015
Kinetic Study of Vacuum Titanizing on Porous Iron by Ti and TiH2
Dong-Won Lee , Su-In Lee , Byoung-Kee Kim , Jei-Pil Wang
Science of Advanced Materials 9 ( 6) 995 -998
1
2017
Top-Down Attention Control at Feature Space for Robust Pattern Recognition
Su-In Lee , Soo-Young Lee
Lecture Notes in Computer Science 129 -138
4
2000
Erratum to The Proteomic Landscape of Triple-Negative Breast Cancer, [Cell Reports, 2015, 11, 630-644.]
Robert T. Lawrence , Elizabeth M. Perez , Daniel Hernández , Chris P. Miller
Cell Reports 11 ( 6)
12
2015
Vascular disease, vascular risk factors and risk of late-onset Alzheimer's disease: Mendelian randomization analyses in the combined ADGC dataset
Shubhabrata Mukherjee , Stefan Walter , Hyuna Yang , Gail Jarvik
Alzheimers & Dementia 9 ( 4) 694
2013
Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer
Safiye Celik , Benjamin A Logsdon , Stephanie Battle , Charles W Drescher
bioRxiv 048215
2016
Learning the human chromatin network from all ENCODE ChIP-seq data
Scott M. Lundberg , William B. Tu , Brian Raught , Linda Z. Penn
bioRxiv 023911
2015
Identifying Network Perturbation in Cancer
Maxim Grechkin , Benjamin A Logsdon , Andrew J Gentles , Su-In Lee
bioRxiv 040394
2016
Proof-Of-Concept Study For Precision Medicine With Chromosome Genomic Array Testing (CGAT) For Drug Sensitivity Screening In Acute Myeloid Leukemia
Min Fang , Scott McElhone , Xin Zhao , Barry E. Storer
Blood 122 ( 21) 2578 -2578
2013
Personalized Approach To Treatment of Acute Myeloid Leukemia Using a High-Throughput Chemosensitivity Assay
Ka Yee Yeung , C. Anthony Blau , Vivian G. Oehler , Su-In Lee
Blood 122 ( 21) 483 -483
2
2013
Fast and reliable tracking algorithm for on-road vehicle detection systems
Jang Woon Baek , Byung-Gil Han , Hyunwoo Kang , Yoonsu Chung
international conference on ubiquitous and future networks 70 -72
3
2016
Identifying progressive gene network perturbation from single-cell RNA-seq data
Sumit Mukherjee , Alberto Carignano , Georg Seelig , Su-In Lee
bioRxiv 297275
2018
AIControl: Replacing matched control experiments with machine learning improves ChIP-seq peak identification
Nao Hiranuma , Scott M. Lundberg , Su-In Lee
bioRxiv 278762
2
2018
DeepProfile: Deep learning of cancer molecular profiles for precision medicine
Ayse Berceste Dincer , Safiye Celik , Naozumi Hiranuma , Su-In Lee
bioRxiv 278739
24
2018
The Effect of Mild Cognitive Impairment Management Program on Traditional Korean Medicine in a Public Health Center
Kyeong Han Kim , Su-In Lee
Journal of Korean Medicine 34 ( 3) 106 -118
1
2013
Evaluations of NPS Reduction using the Rice Straw Mats and Soil Amendments from Steep Sloped Field
Chul-Hee Won , Min-Hwan Shin , Yong-Hun Choi , Jae-Young Shin
Journal of The Korean Society of Agricultural Engineers 55 ( 2) 29 -36
3
2013