找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Bioinformatics and Drug Discovery; Richard S. Larson Book 2006 Humana Press 2006 In silico.Radiologieinformationssystem.bioinformatics.dev

[復(fù)制鏈接]
查看: 46211|回復(fù): 55
樓主
發(fā)表于 2025-3-21 16:57:12 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bioinformatics and Drug Discovery
影響因子2023Richard S. Larson
視頻videohttp://file.papertrans.cn/188/187199/187199.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Methods in Molecular Biology
圖書封面Titlebook: Bioinformatics and Drug Discovery;  Richard S. Larson Book 2006 Humana Press 2006 In silico.Radiologieinformationssystem.bioinformatics.dev
影響因子A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practical situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described.
Pindex Book 2006
The information of publication is updating

書目名稱Bioinformatics and Drug Discovery影響因子(影響力)




書目名稱Bioinformatics and Drug Discovery影響因子(影響力)學(xué)科排名




書目名稱Bioinformatics and Drug Discovery網(wǎng)絡(luò)公開度




書目名稱Bioinformatics and Drug Discovery網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bioinformatics and Drug Discovery被引頻次




書目名稱Bioinformatics and Drug Discovery被引頻次學(xué)科排名




書目名稱Bioinformatics and Drug Discovery年度引用




書目名稱Bioinformatics and Drug Discovery年度引用學(xué)科排名




書目名稱Bioinformatics and Drug Discovery讀者反饋




書目名稱Bioinformatics and Drug Discovery讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:22:52 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:28:45 | 只看該作者
Reproducing Kernel Hilbert Space,ut screening by NMR methods has recently received a boost from the introduction of sophisticated computational techniques for reducing the time needed for the acquistion of the primary NMR data for multidimensional studies.
地板
發(fā)表于 2025-3-22 07:58:54 | 只看該作者
5#
發(fā)表于 2025-3-22 09:51:45 | 只看該作者
6#
發(fā)表于 2025-3-22 16:46:45 | 只看該作者
7#
發(fā)表于 2025-3-22 17:56:45 | 只看該作者
From Microarray to Biological Networks,yze microarray time series. Using the parameters from the dynamic model as a metric, two-way hierarchical clustering could be performed to visualize how . affect the expression levels of .. Application of these approaches is demonstrated using gene expression data in yeast cell cycle.
8#
發(fā)表于 2025-3-23 00:55:18 | 只看該作者
9#
發(fā)表于 2025-3-23 02:34:36 | 只看該作者
10#
發(fā)表于 2025-3-23 06:57:04 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 17:31
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
丽江市| 砚山县| 诸暨市| 阜阳市| 呼和浩特市| 怀远县| 峨山| 普格县| 甘孜县| 孟州市| 监利县| 高安市| 潜江市| 保亭| 保靖县| 晋中市| 琼结县| 南丰县| 皋兰县| 杭锦后旗| 和平县| 锦州市| 迭部县| 无棣县| 达孜县| 吕梁市| 万年县| 大渡口区| 克东县| 平乐县| 威信县| 怀柔区| 麟游县| 乃东县| 常熟市| 江孜县| 宜春市| 桓台县| 黄石市| 宝坻区| 静乐县|