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Saad Haider

Showing results (1-10 of 11) with videos related to

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BMC Genomics|November 9, 2012
Boolean network inference from time series data incorporating prior biological knowledgeSaad Haider, Ranadip Pal
Current Genomics|October 2, 2013
Integrated analysis of transcriptomic and proteomic dataSaad Haider, Ranadip Pal
Cancer Informatics|April 16, 2016
Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity PredictionRaziur Rahman, Saad Haider, Souparno Ghosh, et al.
Plos One|December 15, 2015
A Copula Based Approach for Design of Multivariate Random Forests for Drug Sensitivity PredictionSaad Haider, Raziur Rahman, Souparno Ghosh, et al.
The Journal of the Acoustical Society of America|November 16, 2023
Classification of indexical and segmental features of human speech using low- and high-frequency energya)Jeremy J Donai, D Dwayne Paschall, Saad Haider
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
An Integrated Approach to Anti-Cancer Drug Sensitivity PredictionNoah Berlow, Saad Haider, Qian Wan, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA|February 27, 2019
Addressing systematic inconsistencies between in vitro and in vivo transcriptomic mode of action signaturesPatrick D McMullen, Salil N Pendse, Michael B Black, et al.
Frontiers in Pharmacology|October 19, 2018
A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based ValidationSaad Haider, Michael B Black, Bethany B Parks, et al.
Frontiers in Toxicology|May 16, 2022
Considerations for Improving Metabolism Predictions for <i>In Vitro</i> to <i>In Vivo</i> ExtrapolationMarjory Moreau, Pankajini Mallick, Marci Smeltz, et al.
Toxicology and Applied Pharmacology|November 30, 2019
The role of fit-for-purpose assays within tiered testing approaches: A case study evaluating prioritized estrogen-active compounds in an in vitro human uterotrophic assayTyler Beames, Marjory Moreau, L Avery Roberts, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BMC Genomics|November 9, 2012
Boolean network inference from time series data incorporating prior biological knowledgeSaad Haider, Ranadip Pal
Current Genomics|October 2, 2013
Integrated analysis of transcriptomic and proteomic dataSaad Haider, Ranadip Pal
Cancer Informatics|April 16, 2016
Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity PredictionRaziur Rahman, Saad Haider, Souparno Ghosh, et al.
Plos One|December 15, 2015
A Copula Based Approach for Design of Multivariate Random Forests for Drug Sensitivity PredictionSaad Haider, Raziur Rahman, Souparno Ghosh, et al.
The Journal of the Acoustical Society of America|November 16, 2023
Classification of indexical and segmental features of human speech using low- and high-frequency energya)Jeremy J Donai, D Dwayne Paschall, Saad Haider
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
An Integrated Approach to Anti-Cancer Drug Sensitivity PredictionNoah Berlow, Saad Haider, Qian Wan, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA|February 27, 2019
Addressing systematic inconsistencies between in vitro and in vivo transcriptomic mode of action signaturesPatrick D McMullen, Salil N Pendse, Michael B Black, et al.
Frontiers in Pharmacology|October 19, 2018
A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based ValidationSaad Haider, Michael B Black, Bethany B Parks, et al.
Frontiers in Toxicology|May 16, 2022
Considerations for Improving Metabolism Predictions for <i>In Vitro</i> to <i>In Vivo</i> ExtrapolationMarjory Moreau, Pankajini Mallick, Marci Smeltz, et al.
Toxicology and Applied Pharmacology|November 30, 2019
The role of fit-for-purpose assays within tiered testing approaches: A case study evaluating prioritized estrogen-active compounds in an in vitro human uterotrophic assayTyler Beames, Marjory Moreau, L Avery Roberts, et al.
Pageof 2