D
David C. Page
Researcher at Massachusetts Institute of Technology
Publications - 523
Citations - 47344
David C. Page is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Y chromosome & X chromosome. The author has an hindex of 110, co-authored 509 publications receiving 44119 citations. Previous affiliations of David C. Page include Hennepin County Medical Center & University of California, Los Angeles.
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A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer
Molly J. Carroll,Katja Kaipio,Johanna Hynninen,Olli Carpén,Sampsa Hautaniemi,David C. Page,Pamela K. Kreeger +6 more
TL;DR: A machine learning technique is utilized to correlate the levels of 58 secreted proteins in tumor ascites with the time to disease recurrence after chemotherapy, known clinically as the platinum-free interval, and identifies several candidate proteins correlated to shorter or longer platinum- free intervals.
Journal ArticleDOI
Genetic characterization of a missense mutation in the X-linked TAF7L gene identified in an oligozoospermic man
Li Ling,Fangfang Li,Pinglan Yang,Robert D. Oates,Sherman J. Silber,Cornelia Kurischko,Francis C. Luca,N. Adrian Leu,Jinwen Zhang,Qiuling Yue,Helen Skaletsky,Laura G. Brown,Steve Rozen,David C. Page,Ke Zheng +14 more
TL;DR: RNA-seq analyses reveal alterations in transcriptomic profiles in the Taf7l (D144G) mutant testes that support TAF7L mutation as a risk factor for oligozoospermia in humans.
Journal ArticleDOI
Dorcas Cummings Lecture.
Posted Content
Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks
TL;DR: This work presents the first work that uses drug structure images as the input and utilizes a Siamese convolutional network architecture to predict DDIs.
Journal ArticleDOI
KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications
Finn Kuusisto,Daniel Ng,John Steill,Ian Ross,Miron Livny,Miron Livny,James A. Thomson,James A. Thomson,James A. Thomson,David C. Page,Ron Stewart +10 more
TL;DR: A web application implementation of the KinderMiner algorithm for proposing ranked associations between a list of target terms and a key phrase, which performs comparably or better to similar state-of-the-art text mining tools, is more flexible, and can be applied to any biomedical topic of interest.