WING CHI WONG, PHARM.D.
Pharmacy at Miranda Ave, Palo Alto, CA
License number
California 70703
Category
Pharmacy
Type
Pharmacist
Address
Address
3801 Miranda Ave, Palo Alto, CA 94304
Phone
(650) 493-5000
Professional information
Method And System For Accurate Construction Of Long Range Haplotype
US Patent:
2013029, Nov 7, 2013
Filed:
Jun 1, 2012
Appl. No.:
13/486982
Inventors:
Nicholas Johnson - Palo Alto CA, US
Wing H. Wong - Stanford CA, US
Hua Tang - Stanford CA, US
Wing H. Wong - Stanford CA, US
Hua Tang - Stanford CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
G06F 19/22
US Classification:
702 20
Abstract:
In an embodiment of the present invention, a modified version of the PHASE model is implemented that is substantially more accurate than the FastPHASE model. Modifications in an embodiment of the present invention include using a parameterization EM algorithm similar to that of the FastPHASE model, and to perform optimization on haplotypes rather than MCMC sampling. In an embodiment, the imputed haplotypes themselves are used as hidden states in the HMM because this is believed to be important for the PHASE model's accuracy. This increase in accuracy becomes more pronounced with increasing sample size. This difference is attributed to the PHASE model's likelihood which produces long, shared haplotypes between pairs of individuals.
Method For Generating Healthcare-Related Validated Prediction Models From Multiple Sources
US Patent:
2013008, Apr 4, 2013
Filed:
Sep 29, 2012
Appl. No.:
13/631988
Inventors:
Wing H. Wong - Stanford CA, US
Bokyung Choi - San Francisco CA, US
Bokyung Choi - San Francisco CA, US
Assignee:
UNIVFY INC. - Los Altos CA
International Classification:
G06Q 50/22
US Classification:
705 2
Abstract:
Provided is a method for generating prediction models from multiple healthcare centers. The method allows a third party to use data sets from multiple sources to build prediction models. By entering the data sets in a Model Deconstruction and Transfer (MDT) platform, a healthcare center may provide data to a third party without the need to de-identify data or to physically transfer any identifying or de-identified data from the healthcare center. The MDT platform includes a variable library, which allows the healthcare center to select variables that will be used to generate and validate the prediction model. Also provided is a method for compensating sources that contribute data sets based upon the percentage of clinical data that is used to generate a prediction model.
Method And System For Phasing Individual Genomes In The Context Of Clinical Interpretation
US Patent:
2013008, Apr 4, 2013
Filed:
Jun 1, 2012
Appl. No.:
13/487064
Inventors:
Hua Tang - Stanford CA, US
Michael Snyder - Stanford CA, US
Jennifer Li-Pook-Than - Menlo Park CA, US
Konrad J. Karczewski - Stanford CA, US
Nicholas Johnson - Palo Alto CA, US
Wing H. Wong - Stanford CA, US
Michael Snyder - Stanford CA, US
Jennifer Li-Pook-Than - Menlo Park CA, US
Konrad J. Karczewski - Stanford CA, US
Nicholas Johnson - Palo Alto CA, US
Wing H. Wong - Stanford CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
G06F 19/00
US Classification:
703 2, 703 11
Abstract:
The present disclosure presents a unified system to phase a personal genome for downstream clinical interpretation. In an embodiment, an initial phasing is generated using public datasets, such as haplotypes from the 1000 Genomes Project, and a phasing toolkit. A local perturbation algorithm is applied to improve long range phasing. If available, a Mendelian inheritance pipeline is applied to identify phasing of novel and rare variants. These datasets are merged, followed by correction by any experimental data. This allows for full clinical interpretation of the role of a group of variants in a gene, whether inherited or de novo variants.
Phased Genome Sequencing
US Patent:
2012014, Jun 14, 2012
Filed:
Nov 15, 2011
Appl. No.:
13/297062
Inventors:
Wing H. Wong - Stanford CA, US
Hong Yang - Stanford CA, US
Hong Yang - Stanford CA, US
International Classification:
C40B 30/00, C07H 1/08
US Classification:
506 7, 536 254
Abstract:
The present disclosure provides methods for determining phased nucleic acid sequence for a single chromosome of interest and/or a single chromosomal fragment of interest. The present disclosure also provides methods for determining phased nucleic acid sequence for a plurality of single chromosomes of interest and/or a plurality of single chromosomal fragments of interest. The plurality of single chromosomes of interest may be of one or more chromosome types. The present disclosure also provides a method for isolating a plurality of chromosomal fragments of a specified size range, where the chromosomal fragments are from one or more specified regions of the genome. The plurality of chromosomal fragments may be separated into single chromosomal fragments and sequenced to provide phased nucleic acid sequence for the single chromosomal fragments. Alternatively, the plurality of chromosomal fragments may be sequenced together to provide unphased nucleic acid sequence for the chromosomal fragments.
Systems, Methods And Circuits For Learning Of Relation-Based Networks
US Patent:
8341097, Dec 25, 2012
Filed:
Jan 29, 2010
Appl. No.:
12/696317
Inventors:
Teresa H. Meng - Saratoga CA, US
Wing H. Wong - Stanford CA, US
Narges Asadi Bani - Stanford CA, US
Wing H. Wong - Stanford CA, US
Narges Asadi Bani - Stanford CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
Circuits, devices and methods for processing learning networks are implemented using a variety of methods and devices. One example involves a circuit-implemented method to identify a relationship of objects in a set of objects. Local scores are generated for the object and possible parents. The local scores indicate relationship strength between object and parent. The results are stored in a memory. A state-machine circuit is used to perform sampling and searching of the parent sets for each data node. The local scores are used to encode orderings of the parent. An algorithm is executed that uses the encoded possible orderings and a random variable to generate and score a current order and a proposed order of the possible parent sets. The proposed orders are accepted or rejected based on probability rules applied to the scores for the current and proposed orders. Structures are sampled to assess a Bayesian-based relationship.
Methods For Unsupervised Learning Using Optional Pólya Tree And Bayesian Inference
US Patent:
2012007, Mar 29, 2012
Filed:
Sep 25, 2010
Appl. No.:
12/890641
Inventors:
Li Ma - Stanford CA, US
Wing H. Wong - Stanford CA, US
Wing H. Wong - Stanford CA, US
Assignee:
The Board of Trustees of the Leland Srandford Junior University - Palo Alto CA
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
The present disclosure describes an extension of the Pólya Tree approach for constructing distributions on the space of probability measures. By using optional stopping and optional choice of splitting variables, the present invention gives rise to random measures that are absolutely continuous with piecewise smooth densities on partitions that can adapt to fit the data. The resulting optional Pólya tree distribution has large support in total variation topology, and yields posterior distributions that are also optional Pólya trees with computable parameter values.
Methods And Systems For Assessment Of Clinical Infertility
US Patent:
2010003, Feb 11, 2010
Filed:
Jul 1, 2009
Appl. No.:
12/496493
Inventors:
Mylene W.M. Yao - Stanford CA, US
Wing H. Wong - Stanford CA, US
Wing H. Wong - Stanford CA, US
International Classification:
A61B 17/43
US Classification:
600 33
Abstract:
Methods and computer-based systems for facilitating assessment of clinical infertility are provided. The methods and systems can be implemented to, for example, facilitate assessment of a subject for an in vitro fertilization treatment cycle, including determining probability of a live birth event. The methods and systems can be implemented to, for example, facilitate a determination of success implantation of embryos, selection of an optimal number of embryos to transfer, and determination of success in subsequent in vitro fertilization treatment cycles following an unsuccessful treatment cycle.